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Volume 202: International Conference on Machine Learning, 23-29 July 2023, Honolulu, Hawaii, USA
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Editors: Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett
Data Structures for Density Estimation
Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1-18
ClusterFuG: Clustering Fully connected Graphs by Multicut
Ahmed Abbas, Paul Swoboda;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19-30
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31-60
Toward Large Kernel Models
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:61-78
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:79-90
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
Naoufal Acharki, Ramiro Lugo, Antoine Bertoncello, Josselin Garnier;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:91-132
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:133-151
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
Atish Agarwala, Yann Dauphin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:152-168
Second-order regression models exhibit progressive sharpening to the edge of stability
Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:169-195
Global optimality of Elman-type RNNs in the mean-field regime
Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:196-227
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
Pranjal Aggarwal, Ameet Deshpande, Karthik R Narasimhan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:228-247
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
Mehran Aghabozorgi, Shichong Peng, Ke Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:248-264
Scaling Laws for Generative Mixed-Modal Language Models
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:265-279
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
Anass Aghbalou, Guillaume Staerman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:280-303
Constrained Causal Bayesian Optimization
Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:304-321
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:322-336
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati V Aher, Rosa I. Arriaga, Adam Tauman Kalai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:337-371
Interventional Causal Representation Learning
Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:372-407
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
Elisabeth Ailer, Jason Hartford, Niki Kilbertus;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:408-420
Atari-5: Distilling the Arcade Learning Environment down to Five Games
Matthew Aitchison, Penny Sweetser, Marcus Hutter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:421-438
Towards credible visual model interpretation with path attribution
Naveed Akhtar, Mohammad A. A. K. Jalwana;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:439-457
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data
Ahmet Alacaoglu, Hanbaek Lyu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:458-489
Recasting Self-Attention with Holographic Reduced Representations
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:490-507
The Saddle-Point Method in Differential Privacy
Wael Alghamdi, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:508-528
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
Christian H.X. Ali Mehmeti-Göpel, Jan Disselhoff;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:529-546
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
James Urquhart Allingham, Jie Ren, Michael W Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:547-568
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:569-626
Differentially Private Distributed Bayesian Linear Regression with MCMC
Baris Alparslan, Sinan Yıldırım, Ilker Birbil;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:627-641
Robust and Scalable Bayesian Online Changepoint Detection
Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:642-663
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:664-690
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
Sanae Amani, Tor Lattimore, András György, Lin Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:691-717
A Kernelized Stein Discrepancy for Biological Sequences
Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:718-767
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
Philip Amortila, Nan Jiang, Csaba Szepesvari;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:768-790
Meta Optimal Transport
Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:791-813
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games
Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:814-839
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:840-902
SGD with Large Step Sizes Learns Sparse Features
Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:903-925
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:926-951
Paging with Succinct Predictions
Antonios Antoniadis, Joan Boyar, Marek Elias, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:952-968
Mixing Predictions for Online Metric Algorithms
Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:969-983
Exponential Smoothing for Off-Policy Learning
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:984-1017
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
Jamil Arbas, Hassan Ashtiani, Christopher Liaw;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1018-1040
Principled Acceleration of Iterative Numerical Methods Using Machine Learning
Sohei Arisaka, Qianxiao Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1041-1059
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
Raman Arora, Raef Bassily, Tomás González, Cristóbal A Guzmán, Michael Menart, Enayat Ullah;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1060-1092
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi, Mohammadreza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1093-1106
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1107-1120
From Robustness to Privacy and Back
Hilal Asi, Jonathan Ullman, Lydia Zakynthinou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1121-1146
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
Amit Attia, Tomer Koren;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1147-1171
Adversarially Robust PAC Learnability of Real-Valued Functions
Idan Attias, Steve Hanneke;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1172-1199
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1200-1217
Learning to Initiate and Reason in Event-Driven Cascading Processes
Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1218-1243
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1244-1275
Dirichlet Diffusion Score Model for Biological Sequence Generation
Pavel Avdeyev, Chenlai Shi, Yuhao Tan, Kseniia Dudnyk, Jian Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1276-1301
Gradient Descent Converges Linearly for Logistic Regression on Separable Data
Kyriakos Axiotis, Maxim Sviridenko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1302-1319
Naive imputation implicitly regularizes high-dimensional linear models
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1320-1340
Half-Hop: A graph upsampling approach for slowing down message passing
Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L Dyer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1341-1360
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1361-1395
Personalized Subgraph Federated Learning
Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1396-1415
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1416-1429
Efficient preconditioned stochastic gradient descent for estimation in latent variable models
Charlotte Baey, Maud Delattre, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1430-1453
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1454-1471
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Yushi Bai, Xin Lv, Juanzi Li, Lei Hou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1472-1491
Linear optimal partial transport embedding
Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Shahroz, Soheil Kolouri;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1492-1520
Implicit Graph Neural Networks: A Monotone Operator Viewpoint
Justin Baker, Qingsong Wang, Cory D Hauck, Bao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1521-1548
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1549-1563
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
Oleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1564-1576
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1577-1594
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Marin Ballu, Quentin Berthet;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1595-1613
On the Functional Similarity of Robust and Non-Robust Neural Representations
András Balogh, Márk Jelasity;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1614-1635
Robust Budget Pacing with a Single Sample
Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1636-1659
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1660-1691
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1692-1717
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1718-1736
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1737-1752
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
Anas Barakat, Ilyas Fatkhullin, Niao He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1753-1800
Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1801-1825
Moccasin: Efficient Tensor Rematerialization for Neural Networks
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1826-1837
User-level Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Ziteng Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1838-1851
A Statistical Perspective on Retrieval-Based Models
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1852-1886
Human-Timescale Adaptation in an Open-Ended Task Space
Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1887-1935
A Kernel Stein Test of Goodness of Fit for Sequential Models
Jerome Baum, Heishiro Kanagawa, Arthur Gretton;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1936-1953
Individually Fair Learning with One-Sided Feedback
Yahav Bechavod, Aaron Roth;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1954-1977
Predicting Ordinary Differential Equations with Transformers
Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1978-2002
Explaining Reinforcement Learning with Shapley Values
Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2003-2014
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2015-2030
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2031-2049
Continuously Parameterized Mixture Models
Christopher M Bender, Yifeng Shi, Marc Niethammer, Junier Oliva;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2050-2062
Controllable Neural Symbolic Regression
Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2063-2077
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Viktor Bengs, Eyke Hüllermeier, Willem Waegeman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2078-2091
Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna, Ryan Lucas, Bart Van Parys;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2092-2112
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2113-2163
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2164-2183
Constrained Phi-Equilibria
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2184-2205
Differentiable and Transportable Structure Learning
Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela Van Der Schaar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2206-2233
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
Arturs Berzins;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2234-2244
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2245-2271
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2272-2288
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2289-2312
Bandit Online Linear Optimization with Hints and Queries
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2313-2336
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2337-2363
Data-Copying in Generative Models: A Formal Framework
Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2364-2396
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, Usvsn Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar Van Der Wal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2397-2430
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2431-2451
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2452-2470
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf, Maximilian Müller, Matthias Hein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2471-2506
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2507-2527
Understanding Oversquashing in GNNs through the Lens of Effective Resistance
Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2528-2547
Unit Scaling: Out-of-the-Box Low-Precision Training
Charlie Blake, Douglas Orr, Carlo Luschi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2548-2576
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
Matthieu Blanke, Marc Lelarge;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2577-2591
Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits
Markus Bläser;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2592-2602
Learning the Dynamics of Sparsely Observed Interacting Systems
Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2603-2640
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2641-2688
Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2689-2711
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
David Boetius, Stefan Leue, Tobias Sutter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2712-2737
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari, Shayan Kiyani, Marco Mondelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2738-2776
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
Clément Bonet, Benoı̂t Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2777-2805
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2806-2823
The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning
Victor Boone, Bruno Gaujal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2824-2856
Model-agnostic Measure of Generalization Difficulty
Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R Fiete;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2857-2884
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
Shahine Bouabid, Jake Fawkes, Dino Sejdinovic;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2885-2913
In Search for a Generalizable Method for Source Free Domain Adaptation
Malik Boudiaf, Tom Denton, Bart Van Merrienboer, Vincent Dumoulin, Eleni Triantafillou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2914-2931
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
Adam Bouland, Yosheb M Getachew, Yujia Jin, Aaron Sidford, Kevin Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2932-2952
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2953-3002
Settling the Reward Hypothesis
Michael Bowling, John D Martin, David Abel, Will Dabney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3003-3020
ILLUME: Rationalizing Vision-Language Models through Human Interactions
Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3021-3037
Provably Learning Object-Centric Representations
Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius Von Kügelgen, Wieland Brendel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3038-3062
Quantifying Human Priors over Social and Navigation Networks
Gecia Bravo-Hermsdorff;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3063-3105
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
Pierre Bréchet, Katerina Papagiannouli, Jing An, Guido Montufar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3106-3147
Emergence of Sparse Representations from Noise
Trenton Bricken, Rylan Schaeffer, Bruno Olshausen, Gabriel Kreiman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3148-3191
Differentially Private Optimization on Large Model at Small Cost
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3192-3218
Machine Learning Force Fields with Data Cost Aware Training
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3219-3232
Label differential privacy and private training data release
Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3233-3251
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann Lecun, Alberto Bietti;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3252-3298
Online Mechanism Design for Information Acquisition
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3299-3326
MyoDex: A Generalizable Prior for Dexterous Manipulation
Vittorio Caggiano, Sudeep Dasari, Vikash Kumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3327-3346
What Can Be Learnt With Wide Convolutional Neural Networks?
Francesco Cagnetta, Alessandro Favero, Matthieu Wyart;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3347-3379
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3380-3407
On the Connection Between MPNN and Graph Transformer
Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3408-3430
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
Dongqi Cai, Yangyuxuan Kang, Anbang Yao, Yurong Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3431-3441
Extrapolated Random Tree for Regression
Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3442-3468
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3469-3494
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
Ruisi Cai, Zhenyu Zhang, Zhangyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3495-3506
Doubly Optimal No-Regret Learning in Monotone Games
Yang Cai, Weiqiang Zheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3507-3524
Multi-Agent Learning from Learners
Mine Melodi Caliskan, Francesco Chini, Setareh Maghsudi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3525-3540
Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network
Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3541-3558
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3559-3576
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3577-3598
One-sided Matrix Completion from Two Observations Per Row
Steven Cao, Percy Liang, Gregory Valiant;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3599-3624
State and parameter learning with PARIS particle Gibbs
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3625-3675
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3676-3713
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3714-3731
Scalable Safe Policy Improvement via Monte Carlo Tree Search
Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3732-3756
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3757-3781
On the Robustness of Text Vectorizers
Rémi Catellier, Samuel Vaiter, Damien Garreau;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3782-3814
Learning Globally Smooth Functions on Manifolds
Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3815-3854
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
Jaeyoung Cha, Jaewook Lee, Chulhee Yun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3855-3912
Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations
Jaehoon Cha, Jeyan Thiyagalingam;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3913-3948
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
Souradip Chakraborty, Amrit Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3949-3978
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits
Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3979-4008
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Remi Munos, Will Dabney, Diana L Borsa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4009-4034
Memory-Based Dual Gaussian Processes for Sequential Learning
Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4035-4054
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4055-4075
On Investigating the Conservative Property of Score-Based Generative Models
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4076-4095
Robust and private stochastic linear bandits
Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4096-4115
Streaming Submodular Maximization with Differential Privacy
Anamay Chaturvedi, Huy Nguyen, Thy Dinh Nguyen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4116-4143
Why does Throwing Away Data Improve Worst-Group Error?
Kamalika Chaudhuri, Kartik Ahuja, Martin Arjovsky, David Lopez-Paz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4144-4188
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4189-4217
Correcting discount-factor mismatch in on-policy policy gradient methods
Fengdi Che, Gautham Vasan, A. Rupam Mahmood;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4218-4240
Fast Federated Machine Unlearning with Nonlinear Functional Theory
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4241-4268
On the Statistical Benefits of Temporal Difference Learning
David Cheikhi, Daniel Russo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4269-4293
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
Zhengdao Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4294-4329
Beyond the Edge of Stability via Two-step Gradient Updates
Lei Chen, Joan Bruna;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4330-4391
Trompt: Towards a Better Deep Neural Network for Tabular Data
Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Ting-Wei Chen, Tien-Hao Chang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4392-4434
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
Du Chen, Geoffrey A. Chua;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4435-4461
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
Sitan Chen, Giannis Daras, Alex Dimakis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4462-4484
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4485-4513
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4514-4528
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
Yanzhi Chen, Michael U. Gutmann, Adrian Weller;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4529-4544
Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4545-4565
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4566-4584
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4585-4610
Evolving Semantic Prototype Improves Generative Zero-Shot Learning
Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4611-4622
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4623-4640
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4641-4671
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4672-4712
Sample Complexity of Probability Divergences under Group Symmetry
Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4713-4734
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
Hongrui Chen, Holden Lee, Jianfeng Lu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4735-4763
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4764-4803
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4804-4825
Generalized Implicit Follow-The-Regularized-Leader
Keyi Chen, Francesco Orabona;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4826-4838
Fisher Information Embedding for Node and Graph Learning
Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4839-4855
Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues
Jiaxuan Chen, Yu Qi, Gang Pan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4856-4866
Stratified Adversarial Robustness with Rejection
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4867-4894
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4895-4920
Model Transferability with Responsive Decision Subjects
Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4921-4952
Layered State Discovery for Incremental Autonomous Exploration
Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4953-5001
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5002-5035
Learning to Optimize Differentiable Games
Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5036-5051
Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5052-5086
Semi-Offline Reinforcement Learning for Optimized Text Generation
Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5087-5103
Lower Bounds for Learning in Revealing POMDPs
Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5104-5161
Implicit Neural Spatial Representations for Time-dependent PDEs
Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5162-5177
BEATs: Audio Pre-Training with Acoustic Tokenizers
Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Wanxiang Che, Xiangzhan Yu, Furu Wei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5178-5193
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5194-5218
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Lesi Chen, Jing Xu, Luo Luo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5219-5233
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5234-5256
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
Yifan Chen, Rentian Yao, Yun Yang, Jie Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5257-5281
How to address monotonicity for model risk management?
Dangxing Chen, Weicheng Ye;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5282-5295
Sketched Ridgeless Linear Regression: The Role of Downsampling
Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5296-5326
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen, Qi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5327-5350
Bidirectional Learning for Offline Model-based Biological Sequence Design
Can Chen, Yingxue Zhang, Xue Liu, Mark Coates;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5351-5366
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
Tianqi Chen, Mingyuan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5367-5382
Lifelong Language Pretraining with Distribution-Specialized Experts
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5383-5395
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5396-5427
Weakly Supervised Regression with Interval Targets
Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5428-5448
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5449-5471
Identification of the Adversary from a Single Adversarial Example
Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5472-5484
Parallel Online Clustering of Bandits via Hedonic Game
Xiaotong Cheng, Cheng Pan, Setareh Maghsudi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5485-5503
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5504-5520
Understanding the Role of Feedback in Online Learning with Switching Costs
Duo Cheng, Xingyu Zhou, Bo Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5521-5543
Tighter Bounds on the Expressivity of Transformer Encoders
David Chiang, Peter Cholak, Anand Pillay;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5544-5562
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5563-5599
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5600-5615
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5616-5630
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
Hong-Ming Chiu, Richard Y. Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5631-5660
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
Cheol Jun Cho, Edward Chang, Gopala Anumanchipalli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5661-5676
On the Convergence of Federated Averaging with Cyclic Client Participation
Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5677-5721
GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5722-5747
Is Overfitting Necessary for Implicit Video Representation?
Hee Min Choi, Hyoa Kang, Dokwan Oh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5748-5770
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-Hwan Oh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5771-5786
Restoration based Generative Models
Jaemoo Choi, Yesom Park, Myungjoo Kang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5787-5816
Concept-based Explanations for Out-of-Distribution Detectors
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5817-5837
Active causal structure learning with advice
Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5838-5867
New metrics and search algorithms for weighted causal DAGs
Davin Choo, Kirankumar Shiragur;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5868-5903
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5904-5923
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher A. Choquette-Choo, Hugh Brendan Mcmahan, J Keith Rush, Abhradeep Guha Thakurta;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5924-5963
Taming graph kernels with random features
Krzysztof Marcin Choromanski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5964-5977
Efficient Graph Field Integrators Meet Point Clouds
Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5978-6004
ContraBAR: Contrastive Bayes-Adaptive Deep RL
Era Choshen, Aviv Tamar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6005-6027
Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia, Neil Shah;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6028-6073
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6074-6114
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
Rhea Chowers, Yair Weiss;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6115-6139
Unifying Molecular and Textual Representations via Multi-task Language Modelling
Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6140-6157
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks
Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6158-6184
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6185-6194
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death
Jianing Chu, Shu Yang, Wenbin Lu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6195-6227
InfoOT: Information Maximizing Optimal Transport
Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6228-6242
A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
Bilal Chughtai, Lawrence Chan, Neel Nanda;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6243-6267
Distribution Free Prediction Sets for Node Classification
Jase Clarkson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6268-6278
Sequential Strategic Screening
Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6279-6295
Few-Sample Feature Selection via Feature Manifold Learning
David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6296-6319
Spatial Implicit Neural Representations for Global-Scale Species Mapping
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6320-6342
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6343-6363
Inferring Relational Potentials in Interacting Systems
Armand Comas, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia Camps;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6364-6383
Task-specific experimental design for treatment effect estimation
Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6384-6401
A Mathematical Model for Curriculum Learning for Parities
Elisabetta Cornacchia, Elchanan Mossel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6402-6423
Learning to Maximize Mutual Information for Dynamic Feature Selection
Ian Connick Covert, Wei Qiu, Mingyu Lu, Na Yoon Kim, Nathan J White, Su-In Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6424-6447
Rethinking Weak Supervision in Helping Contrastive Learning
Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6448-6467
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui, Florent Krzakala, Lenka Zdeborova;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6468-6521
A General Representation Learning Framework with Generalization Performance Guarantees
Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6522-6544
IRNeXt: Rethinking Convolutional Network Design for Image Restoration
Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6545-6564
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6565-6590
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
Yiming Cui, Linjie Yang, Haichao Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6591-6602
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6603-6622
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Alicia Curth, Mihaela Van Der Schaar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6623-6642
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
Ashok Cutkosky, Harsh Mehta, Francesco Orabona;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6643-6670
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
Marco Cuturi, Michal Klein, Pierre Ablin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6671-6682
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
Edwige Cyffers, Aurélien Bellet, Debabrota Basu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6683-6711
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
Yanbo Dai, Songze Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6712-6725
Refined Regret for Adversarial MDPs with Linear Function Approximation
Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6726-6759
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6760-6785
Moderately Distributional Exploration for Domain Generalization
Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6786-6817
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning
Brett Daley, Martha White, Christopher Amato, Marlos C. Machado;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6818-6835
Efficient displacement convex optimization with particle gradient descent
Hadi Daneshmand, Jason D. Lee, Chi Jin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6836-6854
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6855-6872
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
Hien Dang, Tho Tran Huu, Stanley Osher, Hung The Tran, Nhat Ho, Tan Minh Nguyen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6873-6947
Reinforcement Learning Can Be More Efficient with Multiple Rewards
Christoph Dann, Yishay Mansour, Mehryar Mohri;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6948-6967
Best of Both Worlds Policy Optimization
Christoph Dann, Chen-Yu Wei, Julian Zimmert;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6968-7008
Image generation with shortest path diffusion
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7009-7024
Efficient List-Decodable Regression using Batches
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7025-7065
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7066-7101
Understanding Self-Distillation in the Presence of Label Noise
Rudrajit Das, Sujay Sanghavi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7102-7140
Interval Bound Interpolation for Few-shot Learning with Few Tasks
Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7141-7166
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
Sam Daulton, Maximilian Balandat, Eytan Bakshy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7167-7204
Fast Combinatorial Algorithms for Min Max Correlation Clustering
Sami Davies, Benjamin Moseley, Heather Newman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7205-7230
Predictive Flows for Faster Ford-Fulkerson
Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7231-7248
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data
Thomas Davies, Zhengchao Wan, Ruben J Sanchez-Garcia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7249-7263
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7264-7302
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk, Naresh Shanbhag;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7303-7328
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Michiel De Jong, Yury Zemlyanskiy, Nicholas Fitzgerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7329-7342
Continuous Spatiotemporal Transformer
Antonio Henrique De Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David Van Dijk;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7343-7365
The Value of Out-of-Distribution Data
Ashwin De Silva, Rahul Ramesh, Carey Priebe, Pratik Chaudhari, Joshua T Vogelstein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7366-7389
High Fidelity Image Counterfactuals with Probabilistic Causal Models
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7390-7425
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation
Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7426-7448
Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio, Konstantin Mishchenko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7449-7479
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7480-7512
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7513-7532
Blossom: an Anytime Algorithm for Computing Optimal Decision Trees
Emir Demirović, Emmanuel Hebrard, Louis Jean;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7533-7562
Optimizing NOTEARS Objectives via Topological Swaps
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7563-7595
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7596-7616
Multi-channel Autobidding with Budget and ROI Constraints
Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7617-7644
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7645-7657
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7658-7674
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
Ailin Deng, Miao Xiong, Bryan Hooi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7675-7693
Hyperbolic Image-text Representations
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7694-7731
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing
Aditya Desai, Keren Zhou, Anshumali Shrivastava;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7732-7749
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers, Luke Zettlemoyer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7750-7774
Fairness in Matching under Uncertainty
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7775-7794
Efficient Parametric Approximations of Neural Network Function Space Distance
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7795-7812
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression
Victor Dheur, Souhaib Ben Taieb;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7813-7836
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7837-7864
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7865-7885
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7886-7921
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
Ilias Diakonikolas, Daniel Kane, Lisheng Ren;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7922-7938
Improving Graph Generation by Restricting Graph Bandwidth
Nathaniel Lee Diamant, Alex M Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7939-7959
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
Michael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7960-7991
Subset-Based Instance Optimality in Private Estimation
Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7992-8014
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8015-8052
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8053-8066
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8067-8089
Open-Vocabulary Universal Image Segmentation with MaskCLIP
Zheng Ding, Jieke Wang, Zhuowen Tu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8090-8102
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8103-8119
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance
Anh-Dung Dinh, Daochang Liu, Chang Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8120-8137
Second-Order Optimization with Lazy Hessians
Nikita Doikov, El Mahdi Chayti, Martin Jaggi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8138-8161
Polynomial Preconditioning for Gradient Methods
Nikita Doikov, Anton Rodomanov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8162-8187
On Data Manifolds Entailed by Structural Causal Models
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8188-8201
Towards Understanding and Reducing Graph Structural Noise for GNNs
Mingze Dong, Yuval Kluger;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8202-8226
SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8227-8243
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8244-8259
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8260-8275
PASTA: Pessimistic Assortment Optimization
Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X Fang, Vahid Tarokh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8276-8295
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Yijun Dong, Yuege Xie, Rachel Ward;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8296-8316
Does Sparsity Help in Learning Misspecified Linear Bandits?
Jialin Dong, Lin Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8317-8333
Symmetry-Aware Robot Design with Structured Subgroups
Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8334-8355
DoCoFL: Downlink Compression for Cross-Device Federated Learning
Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8356-8388
Meta-Learning the Inductive Bias of Simple Neural Circuits
Will Dorrell, Maria Yuffa, Peter E. Latham;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8389-8402
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
Vishwaraj Doshi, Jie Hu, Do Young Eun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8403-8423
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
Matthew Dowling, Yuan Zhao, Il Memming Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8424-8448
On the Convergence Rate of Gaussianization with Random Rotations
Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnoerr, Ullrich Koethe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8449-8468
PaLM-E: An Embodied Multimodal Language Model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8469-8488
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8489-8510
Multi-task Representation Learning for Pure Exploration in Linear Bandits
Yihan Du, Longbo Huang, Wen Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8511-8564
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8565-8584
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8585-8631
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8632-8656
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8657-8677
A Flexible Diffusion Model
Weitao Du, He Zhang, Tao Yang, Yuanqi Du;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8678-8696
Fast Excess Risk Rates via Offset Rademacher Complexity
Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8697-8716
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8717-8730
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8731-8746
Are Equivariant Equilibrium Approximators Beneficial?
Zhijian Duan, Yunxuan Ma, Xiaotie Deng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8747-8778
Evaluating Self-Supervised Learning via Risk Decomposition
Yann Dubois, Tatsunori Hashimoto, Percy Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8779-8820
Fully Dynamic Submodular Maximization over Matroids
Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8821-8835
Optimal No-Regret Learning for One-Sided Lipschitz Functions
Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8836-8850
Integrating Prior Knowledge in Contrastive Learning with Kernel
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8851-8878
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
Owen M Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8879-8901
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons
Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero P Simoncelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8902-8921
Generalization Bounds using Data-Dependent Fractal Dimensions
Benjamin Dupuis, George Deligiannidis, Umut Simsekli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8922-8968
Multi-Objective Population Based Training
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter Bosman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8969-8989
Neural Diffusion Processes
Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8990-9012
FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Alexandre Agm Duval, Victor Schmidt, Alex Hernández-Garcı́a, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9013-9033
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9034-9059
The Computational Complexity of Concise Hypersphere Classification
Eduard Eiben, Robert Ganian, Iyad A. Kanj, Sebastian Ordyniak, Stefan Szeider;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9060-9070
E$(n)$ Equivariant Message Passing Simplicial Networks
Floor Eijkelboom, Rob Hesselink, Erik J Bekkers;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9071-9081
Performative Recommendation: Diversifying Content via Strategic Incentives
Itay Eilat, Nir Rosenfeld;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9082-9103
Hyperparameters in Reinforcement Learning and How To Tune Them
Theresa Eimer, Marius Lindauer, Roberta Raileanu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9104-9149
Fairness in Streaming Submodular Maximization over a Matroid Constraint
Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9150-9171
Difference of submodular minimization via DC programming
Marwa El Halabi, George Orfanides, Tim Hoheisel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9172-9201
Graph Positional Encoding via Random Feature Propagation
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9202-9223
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof, Lars Ruthotto, Eran Treister;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9224-9245
Phase Transitions in the Detection of Correlated Databases
Dor Elimelech, Wasim Huleihel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9246-9266
A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
Yury Elkin, Vitaliy Kurlin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9267-9311
Motion Question Answering via Modular Motion Programs
Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9312-9328
Learning Perturbations to Explain Time Series Predictions
Joseph Enguehard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9329-9342
Regret Minimization and Convergence to Equilibria in General-sum Markov Games
Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9343-9373
Delayed Bandits: When Do Intermediate Observations Help?
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk Van Der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9374-9395
Scaling Spherical CNNs
Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9396-9411
Stochastic Gradient Descent under Markovian Sampling Schemes
Mathieu Even;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9412-9439
Continual Learning in Linear Classification on Separable Data
Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9440-9484
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9485-9507
Neural Status Registers
Lukas Faber, Roger Wattenhofer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9508-9522
Learning Rate Schedules in the Presence of Distribution Shift
Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9523-9546
Predicting Rare Events by Shrinking Towards Proportional Odds
Gregory Faletto, Jacob Bien;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9547-9602
Free-Form Variational Inference for Gaussian Process State-Space Models
Xuhui Fan, Edwin V. Bonilla, Terence O’Kane, Scott A Sisson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9603-9622
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan, Kangwook Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9623-9639
LSDS++ : Dual Sampling for Accelerated k-means++
Chenglin Fan, Ping Li, Xiaoyun Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9640-9649
Smart Initial Basis Selection for Linear Programs
Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9650-9664
General Covariance Data Augmentation for Neural PDE Solvers
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan Oseledets;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9665-9688
The Fast Johnson-Lindenstrauss Transform Is Even Faster
Ora Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9689-9715
Regression with Label Permutation in Generalized Linear Model
Guanhua Fang, Ping Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9716-9760
Robust Collaborative Learning with Linear Gradient Overhead
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9761-9813
Neural FIM for learning Fisher information metrics from point cloud data
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9814-9826
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9827-9869
Parallel Neurosymbolic Integration with Concordia
Jonathan Feldstein, Modestas Jurčius, Efthymia Tsamoura;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9870-9885
Why Target Networks Stabilise Temporal Difference Methods
Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9886-9909
Weighted Sampling without Replacement for Deep Top-$k$ Classification
Dieqiao Feng, Yuanqi Du, Carla P Gomes, Bart Selman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9910-9920
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
Zhe Feng, Christopher Liaw, Zixin Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9921-9937
Fractional Denoising for 3D Molecular Pre-training
Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9938-9961
Improved Algorithms for White-Box Adversarial Streams
Ying Feng, David Woodruff;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9962-9975
Non-stationary Reinforcement Learning under General Function Approximation
Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9976-10007
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10008-10033
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10034-10052
Scaling Laws for Multilingual Neural Machine Translation
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10053-10071
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10072-10092
Adapting to game trees in zero-sum imperfect information games
Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10093-10135
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Nunez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10136-10152
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna Wardlaw, Grant Mair, Emanuele Trucco, Amos Storkey;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10153-10169
Explainable Data-Driven Optimization: From Context to Decision and Back Again
Alexandre Forel, Axel Parmentier, Thibaut Vidal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10170-10187
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
Dylan J Foster, Noah Golowich, Sham M. Kakade;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10188-10221
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D Cantwell, Anil Anthony Bharath;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10222-10248
Can Forward Gradient Match Backpropagation?
Louis Fournier, Stephane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10249-10264
Last Switch Dependent Bandits with Monotone Payoff Functions
Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10265-10284
A Theoretical Analysis of the Learning Dynamics under Class Imbalance
Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10285-10322
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
Elias Frantar, Dan Alistarh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10323-10337
Learning Temporally AbstractWorld Models without Online Experimentation
Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10338-10356
A Coupled Flow Approach to Imitation Learning
Gideon Joseph Freund, Elad Sarafian, Sarit Kraus;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10357-10372
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
Daniel Y Fu, Elliot L Epstein, Eric Nguyen, Armin W Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Re;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10373-10391
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
Yang Fu, Ishan Misra, Xiaolong Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10392-10404
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
Yao Fu, Run Peng, Honglak Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10405-10420
Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10421-10430
Accelerated Stochastic Optimization Methods under Quasar-convexity
Qiang Fu, Dongchu Xu, Ashia Camage Wilson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10431-10460
Meta-learning Parameterized Skills
Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10461-10481
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10482-10493
Hierarchies of Reward Machines
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10494-10541
Why Random Pruning Is All We Need to Start Sparse
Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10542-10570
Cell-Free Latent Go-Explore
Quentin Gallouédec, Emmanuel Dellandrea;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10571-10586
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10587-10610
Why Is Public Pretraining Necessary for Private Model Training?
Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10611-10627
Do Perceptually Aligned Gradients Imply Robustness?
Roy Ganz, Bahjat Kawar, Michael Elad;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10628-10648
Solving Linear Programs with Fast Online Learning Algorithms
Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10649-10675
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks
Yihang Gao, Yiqi Gu, Michael Ng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10676-10707
Generalizing Neural Wave Functions
Nicholas Gao, Stephan Günnemann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10708-10726
On the Impact of Algorithmic Recourse on Social Segregation
Ruijiang Gao, Himabindu Lakkaraju;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10727-10743
DDGR: Continual Learning with Deep Diffusion-based Generative Replay
Rui Gao, Weiwei Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10744-10763
PAL: Program-aided Language Models
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10764-10799
Out-of-Domain Robustness via Targeted Augmentations
Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10800-10834
Scaling Laws for Reward Model Overoptimization
Leo Gao, John Schulman, Jacob Hilton;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10835-10866
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
Xavier Garcia, Yamini Bansal, Colin Cherry, George Foster, Maxim Krikun, Melvin Johnson, Orhan Firat;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10867-10878
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10879-10928
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10929-10974
Self-supervised learning of Split Invariant Equivariant representations
Quentin Garrido, Laurent Najman, Yann Lecun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10975-10996
Federated Heavy Hitter Recovery under Linear Sketching
Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10997-11012
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11013-11049
A Reinforcement Learning Framework for Dynamic Mediation Analysis
Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11050-11097
Compositional Score Modeling for Simulation-Based Inference
Tomas Geffner, George Papamakarios, Andriy Mnih;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11098-11116
Cramming: Training a Language Model on a single GPU in one day.
Jonas Geiping, Tom Goldstein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11117-11143
Transformers Meet Directed Graphs
Simon Geisler, Yujia Li, Daniel J Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11144-11172
Memory-Based Meta-Learning on Non-Stationary Distributions
Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11173-11195
Towards Reliable Neural Specifications
Chuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11196-11212
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
Matthias Gerstgrasser, David C. Parkes;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11213-11236
Approximately Optimal Core Shapes for Tensor Decompositions
Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11237-11254
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11255-11282
On User-Level Private Convex Optimization
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11283-11299
Contextual Reliability: When Different Features Matter in Different Contexts
Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca Dragan, Aditi Raghunathan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11300-11320
Reinforcement Learning from Passive Data via Latent Intentions
Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11321-11339
Harmonic Neural Networks
Atiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Dongho Kim, Jeong-Il Kye, Vincent Emanuel Elfving;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11340-11359
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11360-11397
Looped Transformers as Programmable Computers
Angeliki Giannou, Shashank Rajput, Jy-Yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11398-11442
Generalized Disparate Impact for Configurable Fairness Solutions in ML
Luca Giuliani, Eleonora Misino, Michele Lombardi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11443-11458
Multicalibration as Boosting for Regression
Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11459-11492
Adversarial robustness of amortized Bayesian inference
Manuel Gloeckler, Michael Deistler, Jakob H. Macke;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11493-11524
Efficient RL via Disentangled Environment and Agent Representations
Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11525-11545
Aligning Language Models with Preferences through $f$-divergence Minimization
Dongyoung Go, Tomasz Korbak, Germàn Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11546-11583
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stephan Clémençon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11584-11597
Learning Distributions over Quantum Measurement Outcomes
Weiyuan Gong, Scott Aaronson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11598-11613
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11614-11641
Adaptive Annealed Importance Sampling with Constant Rate Progress
Shirin Goshtasbpour, Victor Cohen, Fernando Perez-Cruz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11642-11658
Formalizing Preferences Over Runtime Distributions
Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11659-11682
Topological Point Cloud Clustering
Vincent Peter Grande, Michael T Schaub;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11683-11697
On Sampling with Approximate Transport Maps
Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11698-11733
Hidden Symmetries of ReLU Networks
Elisenda Grigsby, Kathryn Lindsey, David Rolnick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11734-11760
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression
Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11761-11807
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11808-11826
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11827-11846
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
Aritra Guha, Nhat Ho, Xuanlong Nguyen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11847-11870
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11871-11887
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11888-11904
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships
Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11905-11933
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11934-11966
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11967-11997
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11998-12011
Linkless Link Prediction via Relational Distillation
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12012-12033
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
Yongxin Guo, Xiaoying Tang, Tao Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12034-12054
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12055-12076
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Yuhe Guo, Zhewei Wei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12077-12097
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian Mcauley;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12098-12107
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12108-12121
Identifying Useful Learnwares for Heterogeneous Label Spaces
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12122-12131
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
Shivam Gupta, Jasper C.H. Lee, Eric Price;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12132-12164
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12165-12181
Online Platt Scaling with Calibeating
Chirag Gupta, Aaditya Ramdas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12182-12204
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12205-12223
Conditionally Strongly Log-Concave Generative Models
Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12224-12251
DRew: Dynamically Rewired Message Passing with Delay
Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12252-12267
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
Marie Guyomard, Susana Barbosa, Lionel Fillatre;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12268-12291
Conformal Prediction Sets for Graph Neural Networks
Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12292-12318
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
Seungwoong Ha, Hawoong Jeong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12319-12338
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
Daniel Haider, Martin Ehler, Peter Balazs;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12339-12350
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12351-12367
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition
Boran Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12368-12388
On the Impact of Knowledge Distillation for Model Interpretability
Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12389-12410
Alternately Optimized Graph Neural Networks
Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12411-12429
System Identification of Neural Systems: If We Got It Right, Would We Know?
Yena Han, Tomaso A Poggio, Brian Cheung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12430-12444
Total Variation Graph Neural Networks
Jonas Berg Hansen, Filippo Maria Bianchi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12445-12468
Learning Physical Models that Can Respect Conservation Laws
Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12469-12510
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12511-12526
Leveraging Demonstrations to Improve Online Learning: Quality Matters
Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12527-12545
Coupled Variational Autoencoder
Xiaoran Hao, Patrick Shafto;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12546-12555
GNOT: A General Neural Operator Transformer for Operator Learning
Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12556-12569
Algorithmic Collective Action in Machine Learning
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12570-12586
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
Marc Harkonen, Markus Lange-Hegermann, Bogdan Raita;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12587-12615
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12616-12632
Global Context Vision Transformers
Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12633-12646
Counterfactual Analysis in Dynamic Latent State Models
Martin B Haugh, Raghav Singal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12647-12677
Sampling-based Nyström Approximation and Kernel Quadrature
Satoshi Hayakawa, Harald Oberhauser, Terry Lyons;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12678-12699
Width and Depth Limits Commute in Residual Networks
Soufiane Hayou, Greg Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12700-12723
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann Lecun, Xavier Bresson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12724-12745
Domain Adaptation for Time Series Under Feature and Label Shifts
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12746-12774
Contrastive Learning Meets Homophily: Two Birds with One Stone
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12775-12789
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12790-12822
CRISP: Curriculum based Sequential neural decoders for Polar code family
S Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12823-12845
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
Jonathan Hehir, Daniel Ting, Graham Cormode;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12846-12865
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Florian Heinrichs, Mavin Heim, Corinna Weber;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12866-12881
Distance Weighted Supervised Learning for Offline Interaction Data
Joey Hejna, Jensen Gao, Dorsa Sadigh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12882-12906
Group Equivariant Fourier Neural Operators for Partial Differential Equations
Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12907-12930
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12931-12971
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff, Minqi Jiang, Roberta Raileanu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12972-12999
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13000-13016
Generalized Teacher Forcing for Learning Chaotic Dynamics
Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13017-13049
Causal Modeling of Policy Interventions From Treatment-Outcome Sequences
Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13050-13084
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Liam Hodgkinson, Chris Van Der Heide, Fred Roosta, Michael W. Mahoney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13085-13117
AdaBoost is not an Optimal Weak to Strong Learner
Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13118-13140
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier, D. Staudt, Christopher Zach;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13141-13156
Multi-Task Off-Policy Learning from Bandit Feedback
Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13157-13173
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13174-13198
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13199-13212
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, Tim Salimans;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13213-13232
Causal Strategic Classification: A Tale of Two Shifts
Guy Horowitz, Nir Rosenfeld;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13233-13253
Fair and Accurate Decision Making through Group-Aware Learning
Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13254-13269
Approximation Algorithms for Fair Range Clustering
Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13270-13284
Decoding Layer Saliency in Language Transformers
Elizabeth Mary Hou, Gregory David Castanon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13285-13308
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
Bairu Hou, Joe O’Connor, Jacob Andreas, Shiyu Chang, Yang Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13309-13324
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach
Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13325-13352
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13353-13409
Automatic Data Augmentation via Invariance-Constrained Learning
Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13410-13433
Thompson Sampling with Diffusion Generative Prior
Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13434-13468
Tighter Analysis for ProxSkip
Zhengmian Hu, Heng Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13469-13496
Omnipredictors for Constrained Optimization
Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13497-13527
GFlowNet-EM for Learning Compositional Latent Variable Models
Edward J Hu, Nikolay Malkin, Moksh Jain, Katie E Everett, Alexandros Graikos, Yoshua Bengio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13528-13549
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13550-13583
Language Instructed Reinforcement Learning for Human-AI Coordination
Hengyuan Hu, Dorsa Sadigh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13584-13598
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
Yuan-Ting Hu, Alex Schwing, Raymond A. Yeh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13599-13609
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13610-13627
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13628-13651
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
Zhengmian Hu, Xidong Wu, Heng Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13652-13678
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13679-13709
Reinforcement Learning in Low-rank MDPs with Density Features
Audrey Huang, Jinglin Chen, Nan Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13710-13752
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13753-13773
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13774-13790
High-dimensional Clustering onto Hamiltonian Cycle
Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13791-13813
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
Jiatai Huang, Yan Dai, Longbo Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13814-13844
Fast Algorithms for Distributed k-Clustering with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13845-13868
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13869-13890
On Coresets for Clustering in Small Dimensional Euclidean spaces
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13891-13915
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13916-13932
The Power of Uniform Sampling for k-Median
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13933-13956
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13957-13975
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming
Yufan Huang, C. Seshadhri, David F. Gleich;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13976-13992
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:13993-14006
Policy Contrastive Imitation Learning
Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14007-14022
Are Large Kernels Better Teachers than Transformers for ConvNets?
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14023-14038
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Minhui Huang, Dewei Zhang, Kaiyi Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14039-14059
Federated Linear Contextual Bandits with User-level Differential Privacy
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14060-14095
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14096-14113
Cut your Losses with Squentropy
Like Hui, Mikhail Belkin, Stephen Wright;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14114-14131
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Iris A.M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M Van Gilst, Ruud Van Sloun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14132-14152
One-Shot Federated Conformal Prediction
Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14153-14177
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
Aamal Hussain, Francesco Belardinelli, Dario Paccagnan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14178-14202
Combinatorial Neural Bandits
Taehyun Hwang, Kyuwook Chai, Min-Hwan Oh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14203-14236
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14237-14248
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
Hyeongjoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14249-14282
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14283-14315
On the Identifiability and Estimation of Causal Location-Scale Noise Models
Alexander Immer, Christoph Schultheiss, Julia E Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14316-14332
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Alexander Immer, Tycho F. A. Van Der Ouderaa, Mark Van Der Wilk, Gunnar Ratsch, Bernhard Schölkopf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14333-14352
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14353-14375
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14376-14389
Principled Offline RL in the Presence of Rich Exogenous Information
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm Van Seijen, Remi Tachet Des Combes, John Langford;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14390-14421
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14422-14444
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14445-14464
DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule
Maor Ivgi, Oliver Hinder, Yair Carmon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14465-14499
Maximal Initial Learning Rates in Deep ReLU Networks
Gaurav Iyer, Boris Hanin, David Rolnick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14500-14530
Data-Driven Subgroup Identification for Linear Regression
Zachary Izzo, Ruishan Liu, James Zou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14531-14552
Efficient Training of Language Models using Few-Shot Learning
Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14553-14568
Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David J. Fleet, Ting Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14569-14589
Unconstrained Online Learning with Unbounded Losses
Andrew Jacobsen, Ashok Cutkosky;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14590-14630
Multi-Objective GFlowNets
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14631-14653
The Price of Differential Privacy under Continual Observation
Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14654-14678
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14679-14690
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14691-14701
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14702-14729
Learning to Boost Training by Periodic Nowcasting Near Future Weights
Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, Byungok Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14730-14757
Unscented Autoencoder
Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14758-14779
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14780-14816
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Kishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14817-14835
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
Hyeonsu Jeong, Hye Won Chung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14836-14868
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14869-14885
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14886-14901
Short-lived High-volume Bandits
Su Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A Li, R. Ravi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14902-14929
Smooth Non-stationary Bandits
Su Jia, Qian Xie, Nathan Kallus, Peter I. Frazier;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14930-14944
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14945-14974
VIMA: Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:14975-15022
Estimating Causal Effects using a Multi-task Deep Ensemble
Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15023-15040
Online Restless Bandits with Unobserved States
Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15041-15066
Detecting Out-of-distribution Data through In-distribution Class Prior
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15067-15088
Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks
Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15089-15104
Learning Unnormalized Statistical Models via Compositional Optimization
Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15105-15124
Approximate Causal Effect Identification under Weak Confounding
Ziwei Jiang, Lai Wei, Murat Kocaoglu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15125-15143
MEWL: Few-shot multimodal word learning with referential uncertainty
Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15144-15169
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes
Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15170-15185
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
Weisen Jiang, Yu Zhang, James Kwok;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15186-15199
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15200-15238
Thompson Sampling with Less Exploration is Fast and Optimal
Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15239-15261
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
Daniel D. Johnson, Daniel Tarlow, Christian Walder;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15262-15306
Automatically Auditing Large Language Models via Discrete Optimization
Erik Jones, Anca Dragan, Aditi Raghunathan, Jacob Steinhardt;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15307-15329
On the Expressive Power of Geometric Graph Neural Networks
Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis, Taco Cohen, Pietro Lio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15330-15355
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
Siddharth Joshi, Baharan Mirzasoleiman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15356-15370
Robust Subtask Learning for Compositional Generalization
Kishor Jothimurugan, Steve Hsu, Osbert Bastani, Rajeev Alur;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15371-15387
On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization
Amir Joudaki, Hadi Daneshmand, Francis Bach;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15388-15400
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15401-15420
Scaling of Class-wise Training Losses for Post-hoc Calibration
Seungjin Jung, Seungmo Seo, Yonghyun Jeong, Jongwon Choi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15421-15434
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15435-15450
Estimating Joint Treatment Effects by Combining Multiple Experiments
Yonghan Jung, Jin Tian, Elias Bareinboim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15451-15527
The Catalog Problem: Clustering and Ordering Variable-Sized Sets
Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15528-15545
Equivariance with Learned Canonicalization Functions
Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15546-15566
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15567-15585
Statistical Indistinguishability of Learning Algorithms
Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15586-15622
Identifying Interpretable Subspaces in Image Representations
Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15623-15638
Nonlinear Causal Discovery with Latent Confounders
David Kaltenpoth, Jilles Vreeken;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15639-15654
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15655-15668
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15669-15695
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15696-15707
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15708-15719
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
Ayano Kaneda, Osman Akar, Jingyu Chen, Victoria Alicia Trevino Kala, David Hyde, Joseph Teran;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15720-15736
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15737-15752
Beyond Reward: Offline Preference-guided Policy Optimization
Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15753-15768
Poisoning Generative Replay in Continual Learning to Promote Forgetting
Siteng Kang, Zhan Shi, Xinhua Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15769-15785
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15786-15808
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15809-15827
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
Amin Karbasi, Nikki Lijing Kuang, Yian Ma, Siddharth Mitra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15828-15860
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15861-15883
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15884-15899
General Sequential Episodic Memory Model
Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15900-15910
Regression with Sensor Data Containing Incomplete Observations
Takayuki Katsuki, Takayuki Osogami;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15911-15927
Data Representations’ Study of Latent Image Manifolds
Ilya Kaufman, Omri Azencot;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15928-15945
Multi-Modal Classifiers for Open-Vocabulary Object Detection
Prannay Kaul, Weidi Xie, Andrew Zisserman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15946-15969
Learning Mixtures of Markov Chains and MDPs
Chinmaya Kausik, Kevin Tan, Ambuj Tewari;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:15970-16017
Curious Replay for Model-based Adaptation
Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16018-16048
How Does Information Bottleneck Help Deep Learning?
Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16049-16096
Instrumental Variable Estimation of Average Partial Causal Effects
Yuta Kawakami, Manabu Kuroki, Jin Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16097-16130
The Test of Tests: A Framework for Differentially Private Hypothesis Testing
Zeki Kazan, Kaiyan Shi, Adam Groce, Andrew P Bray;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16131-16151
Exact Inference in High-order Structured Prediction
Chuyang Ke, Jean Honorio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16152-16167
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks
T. Anderson Keller, Max Welling;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16168-16189
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F Grewe, Bernhard Schölkopf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16190-16215
Rethinking Backdoor Attacks
Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16216-16236
PAC Prediction Sets for Large Language Models of Code
Adam Khakhar, Stephen Mell, Osbert Bastani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16237-16249
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
Mohammad Khalafi, Digvijay Boob;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16250-16270
Loss Balancing for Fair Supervised Learning
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16271-16290
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16291-16325
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
Mahyar Khayatkhoei, Wael Abdalmageed;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16326-16343
Learning-augmented private algorithms for multiple quantile release
Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16344-16376
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16377-16392
Trainability, Expressivity and Interpretability in Gated Neural ODEs
Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16393-16423
SAAL: Sharpness-Aware Active Learning
Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16424-16440
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
Jigang Kim, Daesol Cho, H. Jin Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16441-16457
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
Wonyoung Kim, Garud Iyengar, Assaf Zeevi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16458-16501
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16502-16520
Probabilistic Concept Bottleneck Models
Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16521-16540
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16541-16566
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16567-16598
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
Junghoon Kim, Taejoon Kim, David Love, Christopher Brinton;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16599-16618
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
Woojun Kim, Jeonghye Kim, Youngchul Sung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16619-16638
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16639-16653
Probabilistic Imputation for Time-series Classification with Missing Data
Seunghyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16654-16667
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim, Kyowoon Lee, Jaesik Choi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16668-16695
Margin-based Neural Network Watermarking
Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16696-16711
Regularizing Towards Soft Equivariance Under Mixed Symmetries
Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16712-16727
Model-based Offline Reinforcement Learning with Count-based Conservatism
Byeongchan Kim, Min-Hwan Oh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16728-16746
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
Chanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16747-16770
SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes
Junetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun-Young Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16771-16786
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16787-16806
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16807-16828
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
Woojun Kim, Youngchul Sung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16829-16852
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16853-16876
Learnability and Algorithm for Continual Learning
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16877-16896
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
Jungbin Kim, Insoon Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16897-16954
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim, Jong Chul Ye;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16955-16977
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
Dale Kim, Qing Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16978-16996
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
Kwangho Kim, Jose R Zubizarreta;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16997-17014
Proper Losses for Discrete Generative Models
Dhamma Kimpara, Rafael Frongillo, Bo Waggoner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17015-17040
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-Ichi Maeda;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17041-17060
A Watermark for Large Language Models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17061-17084
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17085-17104
Training Normalizing Flows from Dependent Data
Matthias Kirchler, Christoph Lippert, Marius Kloft;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17105-17121
IncDSI: Incrementally Updatable Document Retrieval
Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q Weinberger;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17122-17134
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17135-17175
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M Morris, Charlotte Deane, Yee Whye Teh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17176-17197
Deep Laplacian-based Options for Temporally-Extended Exploration
Martin Klissarov, Marlos C. Machado;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17198-17217
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel, Max Springer, John P Dickerson, Mohammadtaghi Hajiaghayi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17218-17242
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
Boris Knyazev, Doha Hwang, Simon Lacoste-Julien;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17243-17259
Online Learning with Feedback Graphs: The True Shape of Regret
Tomáš Kocák, Alexandra Carpentier;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17260-17282
Grounding Language Models to Images for Multimodal Inputs and Outputs
Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17283-17300
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler, Michele Invernizzi, Pim De Haan, Frank Noe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17301-17326
Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets
Nils Kohring, Fabian Raoul Pieroth, Martin Bichler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17327-17342
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17343-17363
On Computing Optimal Tree Ensembles
Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17364-17374
GOAT: A Global Transformer on Large-scale Graphs
Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17375-17390
Autoregressive Diffusion Model for Graph Generation
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17391-17408
End-to-End Full-Atom Antibody Design
Xiangzhe Kong, Wenbing Huang, Yang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17409-17429
Covariate balancing using the integral probability metric for causal inference
Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17430-17461
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17462-17491
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17492-17505
Pretraining Language Models with Human Preferences
Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17506-17533
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Ezgi Korkmaz, Jonah Brown-Cohen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17534-17543
Ewald-based Long-Range Message Passing for Molecular Graphs
Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17544-17563
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17564-17579
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17580-17614
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17615-17659
Variational Mixture of HyperGenerators for Learning Distributions over Functions
Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17660-17683
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17684-17744
Estimation Beyond Data Reweighting: Kernel Method of Moments
Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17745-17783
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17784-17807
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17808-17826
Graph Neural Tangent Kernel: Convergence on Large Graphs
Sanjukta Krishnagopal, Luana Ruiz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17827-17841
Diffusion Models for Black-Box Optimization
Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17842-17857
Learning to Design Analog Circuits to Meet Threshold Specifications
Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17858-17873
Variance Control for Distributional Reinforcement Learning
Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17874-17895
Hierarchical Imitation Learning with Vector Quantized Models
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17896-17919
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17920-17930
Towards Explaining Distribution Shifts
Sean Kulinski, David I. Inouye;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17931-17952
Featured Graph Coarsening with Similarity Guarantees
Manoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17953-17975
Modeling Dynamic Environments with Scene Graph Memory
Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martı́n-Martı́n;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17976-17993
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
Emirhan Kurtuluş, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:17994-18007
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Vı́ctor Elvira, Jens Lagergren;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18008-18022
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
Min-Seop Kwak, Jiuhn Song, Seungryong Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18023-18036
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
Sehyun Kwon, Joo Young Choi, Ernest K. Ryu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18037-18056
Reward-Mixing MDPs with Few Latent Contexts are Learnable
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18057-18082
A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18083-18113
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
Dohyun Kwon, Hanbaek Lyu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18114-18134
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Yongchan Kwon, James Zou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18135-18152
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18153-18170
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
Sebastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18171-18206
Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
Steinar Laenen, Bogdan Adrian Manghiuc, He Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18207-18249
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18250-18268
A theory of continuous generative flow networks
Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-Garcı́a, Lena Nehale Ezzine, Yoshua Bengio, Nikolay Malkin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18269-18300
Automatically marginalized MCMC in probabilistic programming
Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18301-18318
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida Wang, Tao Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18319-18345
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18346-18364
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18365-18398
Private Statistical Estimation of Many Quantiles
Clément Lalanne, Aurélien Garivier, Rémi Gribonval;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18399-18418
Bootstrap in High Dimension with Low Computation
Henry Lam, Zhenyuan Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18419-18453
LegendreTron: Uprising Proper Multiclass Loss Learning
Kevin H Lam, Christian Walder, Spiridon Penev, Richard Nock;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18454-18470
Metagenomic Binning using Connectivity-constrained Variational Autoencoders
Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18471-18481
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback
Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18482-18534
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
Robert Tjarko Lange, Henning Sprekeler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18535-18547
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs
Romain Laroche, Remi Tachet Des Combes;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18548-18562
Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
Alexandra Anna Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18563-18583
Speeding Up Bellman Ford via Minimum Violation Permutations
Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18584-18598
Who Needs to Know? Minimal Knowledge for Optimal Coordination
Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D Dennis, Stuart Russell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18599-18613
Target-based Surrogates for Stochastic Optimization
Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18614-18651
Cluster Explanation via Polyhedral Descriptions
Connor Lawless, Oktay Gunluk;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18652-18666
Pre-training for Speech Translation: CTC Meets Optimal Transport
Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18667-18685
Bootstrapped Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18686-18713
Strategic Classification with Unknown User Manipulations
Tosca Lechner, Ruth Urner, Shai Ben-David;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18714-18732
Learning in POMDPs is Sample-Efficient with Hindsight Observability
Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18733-18773
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18774-18795
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18796-18809
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18810-18851
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18852-18871
Exploring Chemical Space with Score-based Out-of-distribution Generation
Seul Lee, Jaehyeong Jo, Sung Ju Hwang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18872-18892
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18893-18912
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18913-18939
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
Chaejeong Lee, Jayoung Kim, Noseong Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18940-18956
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18957-18973
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
Hangbin Lee, Youngjo Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18974-18987
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:18988-19009
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19010-19035
QASA: Advanced Question Answering on Scientific Articles
Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19036-19052
Demystifying Disagreement-on-the-Line in High Dimensions
Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19053-19093
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
Wonyeol Lee, Sejun Park, Alex Aiken;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19094-19140
Implicit Jacobian regularization weighted with impurity of probability output
Sungyoon Lee, Jinseong Park, Jaewook Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19141-19184
Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments
Sang-Hyun Lee, Seung-Woo Seo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19185-19199
Generalization Analysis for Contrastive Representation Learning
Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19200-19227
Learning Control by Iterative Inversion
Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19228-19255
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault-Levasseur;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19256-19273
Fast Inference from Transformers via Speculative Decoding
Yaniv Leviathan, Matan Kalman, Yossi Matias;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19274-19286
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19287-19314
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations
Dan Ley, Saumitra Mishra, Daniele Magazzeni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19315-19342
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19343-19359
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li, Byron Boots, Ching-An Cheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19360-19384
Internet Explorer: Targeted Representation Learning on the Open Web
Alexander Cong Li, Ellis Langham Brown, Alexei A Efros, Deepak Pathak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19385-19406
Prototype-oriented unsupervised anomaly detection for multivariate time series
Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19407-19424
Learning Preconditioners for Conjugate Gradient PDE Solvers
Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19425-19439
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19440-19459
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
Li’Ang Li, Yifei Duan, Guanghua Ji, Yongqiang Cai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19460-19470
FAIRER: Fairness as Decision Rationale Alignment
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19471-19489
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19490-19503
Adversarial Collaborative Learning on Non-IID Features
Qinbin Li, Bingsheng He, Dawn Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19504-19526
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19527-19564
Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19565-19594
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
Rui Li, S. T. John, Arno Solin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19595-19615
Local Vertex Colouring Graph Neural Networks
Shouheng Li, Dongwoo Kim, Qing Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19616-19637
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
Xiaoyun Li, Ping Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19638-19688
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
Yuchen Li, Yuanzhi Li, Andrej Risteski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19689-19729
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19730-19742
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
Junfan Li, Shizhong Liao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19743-19766
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li, Tao Lin, Xinyi Shang, Chao Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19767-19788
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
Shaojie Li, Yong Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19789-19810
Optimal Convergence Rates for Agnostic Nyström Kernel Learning
Jian Li, Yong Liu, Weiping Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19811-19836
Reconstructive Neuron Pruning for Backdoor Defense
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19837-19854
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19855-19881
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19882-19910
On the Initialization of Graph Neural Networks
Jiahang Li, Yakun Song, Xiang Song, David Wipf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19911-19931
Federated Adversarial Learning: A Framework with Convergence Analysis
Xiaoxiao Li, Zhao Song, Jiaming Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19932-19959
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19960-19981
Efficient Quantum Algorithms for Quantum Optimal Control
Xiantao Li, Chunhao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19982-19994
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:19995-20034
Hierarchical Diffusion for Offline Decision Making
Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20035-20064
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
Wanshan Li, Daren Wang, Alessandro Rinaldo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20065-20148
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20149-20167
Learning Antidote Data to Individual Unfairness
Peizhao Li, Ethan Xia, Hongfu Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20168-20181
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20182-20194
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li, Miao Xiong, Bryan Hooi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20195-20209
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20210-20220
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds
Shengshi Li, Lin Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20221-20252
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving
Weixin Li, Xiaodong Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20253-20275
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
Pengfei Li, Jianyi Yang, Shaolei Ren;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20276-20295
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Songze Li, Duanyi Yao, Jin Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20296-20311
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20312-20335
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20336-20350
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael Jordan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20351-20383
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
Chao Li, Junhua Zeng, Chunmei Li, Cesar F Caiafa, Qibin Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20384-20411
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20412-20451
Does a Neural Network Really Encode Symbolic Concepts?
Mingjie Li, Quanshi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20452-20469
Cooperative Open-ended Learning Framework for Zero-Shot Coordination
Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20470-20484
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20485-20528
Optimal Arms Identification with Knapsacks
Shaoang Li, Lan Zhang, Yingqi Yu, Xiangyang Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20529-20555
Internally Rewarded Reinforcement Learning
Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20556-20574
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20575-20598
Structured Cooperative Learning with Graphical Model Priors
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20599-20622
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang, Minghua Chen, Steven Low;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20623-20649
Consistency of Multiple Kernel Clustering
Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20650-20676
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
Hao Liang, Zhi-Quan Luo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20677-20705
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20706-20724
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20725-20745
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20746-20762
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20763-20786
CLUSTSEG: Clustering for Universal Segmentation
James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20787-20809
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping
Ziyi Liang, Yanfei Zhou, Matteo Sesia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20810-20851
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20852-20867
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
Luofeng Liao, Christian Kroer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20868-20905
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20906-20938
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20939-20949
Variational Open-Domain Question Answering
Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20950-20977
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
Yeqing Lin, Mohammed Alquraishi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:20978-21002
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21003-21025
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21026-21050
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21051-21064
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21065-21077
Theory on Forgetting and Generalization of Continual Learning
Sen Lin, Peizhong Ju, Yingbin Liang, Ness Shroff;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21078-21100
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21101-21126
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21127-21152
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Alexander Lin, Bahareh Tolooshams, Yves Atchade, Demba E. Ba;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21153-21181
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21182-21203
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
Chieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh, Ming-Hsuan Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21204-21222
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21223-21259
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21260-21287
Continuation Path Learning for Homotopy Optimization
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21288-21311
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
Alexander Lindermayr, Nicole Megow, Martin Rapp;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21312-21334
Graph Mixup with Soft Alignments
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21335-21349
Deep Graph Representation Learning and Optimization for Influence Maximization
Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21350-21361
Emergent Agentic Transformer from Chain of Hindsight Experience
Hao Liu, Pieter Abbeel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21362-21374
Shapley Based Residual Decomposition for Instance Analysis
Tommy Liu, Amanda S Barnard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21375-21387
Learning Representations without Compositional Assumptions
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela Van Der Schaar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21388-21403
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21404-21425
Towards Constituting Mathematical Structures for Learning to Optimize
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, Hanqin Cai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21426-21449
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D Plumbley;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21450-21474
Identifiability of Label Noise Transition Matrix
Yang Liu, Hao Cheng, Kun Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21475-21496
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21497-21526
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Xing Liu, Andrew B. Duncan, Axel Gandy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21527-21547
Cones: Concept Neurons in Diffusion Models for Customized Generation
Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21548-21566
Opponent-Limited Online Search for Imperfect Information Games
Weiming Liu, Haobo Fu, Qiang Fu, Yang Wei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21567-21585
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21586-21610
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21611-21630
Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
Liang Liu, Yanan Guo, Youtao Zhang, Jun Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21631-21657
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21658-21671
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-Yi Lee, Shao-Hua Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21672-21697
Online Local Differential Private Quantile Inference via Self-normalization
Yi Liu, Qirui Hu, Lei Ding, Linglong Kong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21698-21714
GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21715-21729
2D-Shapley: A Framework for Fragmented Data Valuation
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21730-21755
Causal Structure Learning for Latent Intervened Non-stationary Data
Chenxi Liu, Kun Kuang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21756-21777
Structural Re-weighting Improves Graph Domain Adaptation
Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21778-21793
Dink-Net: Neural Clustering on Large Graphs
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21794-21812
Oscillation-free Quantization for Low-bit Vision Transformers
Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21813-21824
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
Xuejie Liu, Anji Liu, Guy Van Den Broeck, Yitao Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21825-21838
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21839-21866
Graph Switching Dynamical Systems
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21867-21883
High Probability Convergence of Stochastic Gradient Methods
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21884-21914
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21915-21936
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, D. Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21937-21950
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
Zirui Liu, Chen Shengyuan, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21951-21968
Algorithms for bounding contribution for histogram estimation under user-level privacy
Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21969-21996
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:21997-22008
Generating Private Synthetic Data with Genetic Algorithms
Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22009-22027
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22028-22041
I$^2$SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22042-22062
What can online reinforcement learning with function approximation benefit from general coverage conditions?
Fanghui Liu, Luca Viano, Volkan Cevher;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22063-22091
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
Zhaoyan Liu, Noël Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22092-22112
Global Optimization with Parametric Function Approximation
Chong Liu, Yu-Xiang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22113-22136
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22137-22176
Trapdoor Normalization with Irreversible Ownership Verification
Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22177-22187
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Hong Liu, Sang Michael Xie, Zhiyuan Li, Tengyu Ma;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22188-22214
Taxonomy-Structured Domain Adaptation
Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22215-22232
Dropout Reduces Underfitting
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22233-22248
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22249-22265
Retrosynthetic Planning with Dual Value Networks
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22266-22276
Online Nonstochastic Control with Adversarial and Static Constraints
Xin Liu, Zixian Yang, Lei Ying;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22277-22288
Optimization for Amortized Inverse Problems
Tianci Liu, Tong Yang, Quan Zhang, Qi Lei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22289-22319
Active Policy Improvement from Multiple Black-box Oracles
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew Walter, Yuxin Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22320-22337
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
Weitang Liu, Yi-Zhuang You, Ying Wai Li, Jingbo Shang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22338-22351
VectorMapNet: End-to-end Vectorized HD Map Learning
Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22352-22369
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
Xiangyu Liu, Kaiqing Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22370-22419
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22420-22453
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22454-22472
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Zhuoran Liu, Zhengyu Zhao, Martha Larson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22473-22487
Which Invariance Should We Transfer? A Causal Minimax Learning Approach
Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22488-22527
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q Weinberger;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22528-22538
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu, Yuanyang Zhu, Chunlin Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22539-22558
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22559-22593
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
Sam Lobel, Akhil Bagaria, George Konidaris;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22594-22613
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22614-22630
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, Adam Roberts;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22631-22648
Dataset Distillation with Convexified Implicit Gradients
Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22649-22674
Reflected Diffusion Models
Aaron Lou, Stefano Ermon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22675-22701
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
David Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22702-22757
Bilevel Optimization with Coupled Decision-Dependent Distributions
Songtao Lu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22758-22789
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
Yulong Lu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22790-22811
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22812-22824
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22825-22855
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Yiwei Lu, Gautam Kamath, Yaoliang Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22856-22879
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22880-22898
Learning Dense Correspondences between Photos and Sketches
Xuanchen Lu, Xiaolong Wang, Judith E Fan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22899-22916
Adversarial Cheap Talk
Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22917-22941
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael Jordan, Ramesh Raskar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22942-22964
Mechanistic Mode Connectivity
Ekdeep Singh Lubana, Eric J Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22965-23004
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions
Daniel Lundstrom, Meisam Razaviyayn;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23005-23032
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23033-23044
Image Restoration with Mean-Reverting Stochastic Differential Equations
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23045-23066
Dimensionality Reduction for General KDE Mode Finding
Xinyu Luo, Christopher Musco, Cas Widdershoven;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23067-23082
Iterative Approximate Cross-Validation
Yuetian Luo, Zhimei Ren, Rina Barber;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23083-23102
A Closer Look at Few-shot Classification Again
Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23103-23123
HOPE: High-order Graph ODE For Modeling Interacting Dynamics
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23124-23139
Stabilizing GANs’ Training with Brownian Motion Controller
Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23140-23156
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati, Lior Wolf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23157-23169
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23170-23189
Understanding Plasticity in Neural Networks
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23190-23211
Bandits with Knapsacks: Advice on Time-Varying Demands
Lixing Lyu, Wang Chi Cheung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23212-23238
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23239-23263
Which Tricks are Important for Learning to Rank?
Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23264-23278
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23279-23300
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23301-23320
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23321-23337
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Baorui Ma, Yu-Shen Liu, Zhizhong Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23338-23357
Learning Intuitive Policies Using Action Features
Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23358-23372
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23373-23387
Buying Information for Stochastic Optimization
Mingchen Ma, Christos Tzamos;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23388-23411
Generated Graph Detection
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23412-23428
Calibrating Multimodal Learning
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23429-23450
AutoCoreset: An Automatic Practical Coreset Construction Framework
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23451-23466
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23467-23483
Applied Online Algorithms with Heterogeneous Predictors
Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23484-23497
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23498-23515
Vertical Federated Graph Neural Network for Recommender System
Peihua Mai, Yan Pang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23516-23535
Can Neural Network Memorization Be Localized?
Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23536-23557
Fundamental Tradeoffs in Learning with Prior Information
Anirudha Majumdar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23558-23573
Additive Causal Bandits with Unknown Graph
Alan Malek, Virginia Aglietti, Silvia Chiappa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23574-23589
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23590-23609
A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23610-23641
Performative Reinforcement Learning
Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23642-23680
Differential Privacy has Bounded Impact on Fairness in Classification
Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23681-23705
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
Yishay Mansour, Richard Nock, Robert Williamson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23706-23742
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
Anqi Mao, Mehryar Mohri, Yutao Zhong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23743-23802
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Anqi Mao, Mehryar Mohri, Yutao Zhong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23803-23828
Supported Trust Region Optimization for Offline Reinforcement Learning
Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23829-23851
Robust Perception through Equivariance
Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23852-23870
Reliable Measures of Spread in High Dimensional Latent Spaces
Anna Marbut, Katy Mckinney-Bock, Travis Wheeler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23871-23885
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier Du Terrail, Arthur Pignet;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23886-23914
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23915-23936
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
Adria Marcos Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter Crozier, Carlos Fernandez-Granda;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23937-23957
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23958-24004
Analyzing Diffusion as Serial Reproduction
Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois, Nori Jacoby, Thomas L. Griffiths;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24005-24019
Quantized Distributed Training of Large Models with Convergence Guarantees
Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24020-24044
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
Juan Maroñas, Daniel Hernández-Lobato;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24045-24081
Computational Asymmetries in Robust Classification
Samuele Marro, Michele Lombardi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24082-24138
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24139-24172
Generative Pretraining for Black-Box Optimization
Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24173-24197
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24198-24213
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24214-24235
Communication-Constrained Bandits under Additive Gaussian Noise
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24236-24250
Nonparametric Density Estimation under Distribution Drift
Alessio Mazzetto, Eli Upfal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24251-24270
PAC-Bayesian Generalization Bounds for Adversarial Generative Models
Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24271-24290
Robustness in Multimodal Learning under Train-Test Modality Mismatch
Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T Toshev;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24291-24303
A Model-free Closeness-of-influence Test for Features in Supervised Learning
Mohammad Mehrabi, Ryan A. Rossi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24304-24324
Stochastic Gradient Succeeds for Bandits
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24325-24360
Normalizing Flows for Interventional Density Estimation
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24361-24397
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24398-24419
Superhuman Fairness
Omid Memarrast, Linh Vu, Brian D Ziebart;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24420-24435
A Model-Based Method for Minimizing CVaR and Beyond
Si Yi Meng, Robert M. Gower;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24436-24456
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24457-24477
On Preemption and Learning in Stochastic Scheduling
Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24478-24516
Quantile Credit Assignment
Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Remi Munos;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24517-24531
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander Gasnikov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24532-24554
Towards Theoretical Understanding of Inverse Reinforcement Learning
Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24555-24591
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer, Daniel Scherer, Axel Plinge, Christopher Mutschler, Michael Hartmann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24592-24613
Training Deep Surrogate Models with Large Scale Online Learning
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribes, Bruno Raffin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24614-24630
MANSA: Learning Fast and Slow in Multi-Agent Systems
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24631-24658
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
Zakaria Mhammedi, Dylan J Foster, Alexander Rakhlin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24659-24700
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna, Mohamad Assaad;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24701-24719
Learning Instance-Specific Augmentations by Capturing Local Invariances
Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24720-24736
Path Neural Networks: Expressive and Accurate Graph Neural Networks
Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24737-24755
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
Thomas Miconi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24756-24774
Generative Decoding of Visual Stimuli
Eleni Miliotou, Panagiotis Kyriakis, Jason D Hinman, Andrei Irimia, Paul Bogdan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24775-24784
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24785-24811
Directed Chain Generative Adversarial Networks
Ming Min, Ruimeng Hu, Tomoyuki Ichiba;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24812-24830
An Information-Theoretic Analysis of Nonstationary Bandit Learning
Seungki Min, Daniel Russo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24831-24849
On the Convergence of Gradient Flow on Multi-layer Linear Models
Hancheng Min, Rene Vidal, Enrique Mallada;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24850-24887
Optimal Sets and Solution Paths of ReLU Networks
Aaron Mishkin, Mert Pilanci;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24888-24924
The Numerical Stability of Hyperbolic Representation Learning
Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24925-24949
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, Chelsea Finn;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24950-24962
Diffusion Based Representation Learning
Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24963-24982
Disentangled Multiplex Graph Representation Learning
Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24983-25005
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
Shentong Mo, Pedro Morgado;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25006-25017
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint
Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25018-25036
Text-To-Concept (and Back) via Cross-Model Alignment
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25037-25060
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25061-25081
Special Properties of Gradient Descent with Large Learning Rates
Amirkeivan Mohtashami, Martin Jaggi, Sebastian U Stich;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25082-25104
Neural Inverse Operators for Solving PDE Inverse Problems
Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25105-25139
Input uncertainty propagation through trained neural networks
Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25140-25173
Compressing Tabular Data via Latent Variable Estimation
Andrea Montanari, Eric Weiner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25174-25208
An SDE for Modeling SAM: Theory and Insights
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurelien Lucchi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25209-25253
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25254-25274
WL meet VC
Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25275-25302
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
Ted Moskovitz, Brendan O’Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25303-25336
Optimistic Planning by Regularized Dynamic Programming
Antoine Moulin, Gergely Neu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25337-25357
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25358-25425
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25426-25443
PFNs4BO: In-Context Learning for Bayesian Optimization
Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25444-25470
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
Johannes Müller, Marius Zeinhofer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25471-25485
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
Andreas Munk, Alexander Mead, Frank Wood;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25486-25500
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25501-25522
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
Tomoya Murata, Taiji Suzuki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25523-25548
Efficiently predicting high resolution mass spectra with graph neural networks
Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25549-25562
Dynamical Linear Bandits
Marco Mussi, Alberto Maria Metelli, Marcello Restelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25563-25587
Representation-Driven Reinforcement Learning
Ofir Nabati, Guy Tennenholtz, Shie Mannor;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25588-25603
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
Adel Nabli, Edouard Oyallon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25604-25626
Multi-User Reinforcement Learning with Low Rank Rewards
Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25627-25659
Statistical Foundations of Prior-Data Fitted Networks
Thomas Nagler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25660-25676
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25677-25693
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilan Naiman, Nimrod Berman, Omri Azencot;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25694-25717
Effectively Using Public Data in Privacy Preserving Machine Learning
Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25718-25732
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25733-25754
Discovering Object-Centric Generalized Value Functions From Pixels
Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25755-25768
On Many-Actions Policy Gradient
Michal Nauman, Marek Cygan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25769-25789
Equivariant Architectures for Learning in Deep Weight Spaces
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25790-25816
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25817-25833
Geometric Autoencoders - What You See is What You Decode
Philipp Nazari, Sebastian Damrich, Fred A Hamprecht;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25834-25857
Action Matching: Learning Stochastic Dynamics from Samples
Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25858-25889
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains
Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh M Halappanavar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25890-25903
ClimaX: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25904-25938
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen, Ching-An Cheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25939-25955
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley Osher, Tan Minh Nguyen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25956-25979
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen, Shahana Ibrahim, Xiao Fu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25980-26007
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
Khai Nguyen, Dang Nguyen, Nhat Ho;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26008-26030
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
Xuan Son Nguyen, Shuo Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26031-26062
Simple Disentanglement of Style and Content in Visual Representations
Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26063-26086
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26087-26105
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida Wang, Xi Victoria Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26106-26128
Continual Vision-Language Representation Learning with Off-Diagonal Information
Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26129-26149
Attributing Image Generative Models using Latent Fingerprints
Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26150-26165
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26166-26198
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26199-26214
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26215-26227
Anti-Exploration by Random Network Distillation
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26228-26244
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26245-26265
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26266-26282
The Statistical Scope of Multicalibration
Georgy Noarov, Aaron Roth;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26283-26310
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26311-26325
Gradient-Free Structured Pruning with Unlabeled Data
Azade Nova, Hanjun Dai, Dale Schuurmans;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26326-26341
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack, Julian Mcauley, Zachary Chase Lipton, Saurabh Garg;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26342-26362
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan Oseledets;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26363-26381
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
Brendan O’Donoghue;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26382-26402
Provable Benefit of Mixup for Finding Optimal Decision Boundaries
Junsoo Oh, Chulhee Yun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26403-26450
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26451-26473
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26474-26494
On the Within-Group Fairness of Screening Classifiers
Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26495-26516
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko, Shunta Akiyama, Taiji Suzuki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26517-26582
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
Raphael Olivier, Bhiksha Raj;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26583-26598
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26599-26618
Measuring the Impact of Programming Language Distribution
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26619-26645
When does Privileged information Explain Away Label Noise?
Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D’Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26646-26669
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto, Samuel L Smith, Albert Gu, Anushan Fernando, Caglar Gulcehre, Razvan Pascanu, Soham De;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26670-26698
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
Yidong Ouyang, Liyan Xie, Guang Cheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26699-26723
On the Role of Attention in Prompt-tuning
Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26724-26768
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26769-26791
Extrapolative Controlled Sequence Generation via Iterative Refinement
Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P Parikh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26792-26808
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
Avik Pal, Alan Edelman, Christopher Vincent Rackauckas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26809-26819
Controlled Differential Equations on Long Sequences via Non-standard Wavelets
Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26820-26836
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26837-26867
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Erlin Pan, Zhao Kang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26868-26877
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26878-26890
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Cetin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26891-26903
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26904-26930
Flash: Concept Drift Adaptation in Federated Learning
Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26931-26962
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Deep Shankar Pandey, Qi Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26963-26989
Secure Federated Correlation Test and Entropy Estimation
Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26990-27010
Task-Specific Skill Localization in Fine-tuned Language Models
Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27011-27033
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
Junyoung Park, Jeongyoun Ahn, Cheolwoo Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27034-27047
Learning Affinity with Hyperbolic Representation for Spatial Propagation
Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27048-27073
TRAK: Attributing Model Behavior at Scale
Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27074-27113
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27114-27131
Towards Understanding Ensemble Distillation in Federated Learning
Sejun Park, Kihun Hong, Ganguk Hwang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27132-27187
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27188-27203
Differentially Private Sharpness-Aware Training
Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27204-27224
Controllability-Aware Unsupervised Skill Discovery
Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27225-27245
Predictable MDP Abstraction for Unsupervised Model-Based RL
Seohong Park, Sergey Levine;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27246-27268
Neural Stochastic Differential Games for Time-series Analysis
Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27269-27293
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
Jisun Park, Ernest K. Ryu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27294-27345
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators
Paavo Parmas, Takuma Seno, Yuma Aoki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27346-27377
PAC Generalization via Invariant Representations
Advait U Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27378-27400
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
Farhad Pashakhanloo, Alexei Koulakov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27401-27419
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Saro Passaro, C. Lawrence Zitnick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27420-27438
Federated Online and Bandit Convex Optimization
Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27439-27460
Brauer’s Group Equivariant Neural Networks
Edward Pearce-Crump;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27461-27482
How Jellyfish Characterise Alternating Group Equivariant Neural Networks
Edward Pearce-Crump;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27483-27495
Can Large Language Models Reason about Program Invariants?
Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27496-27520
Dynamics-inspired Neuromorphic Visual Representation Learning
Zhengqi Pei, Shuhui Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27521-27541
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation
Gao Peifeng, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27542-27563
Fair Neighbor Embedding
Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27564-27584
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng, Paris Giampouras, Rene Vidal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27585-27610
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27611-27629
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
Andi Peng, Aviv Netanyahu, Mark K Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27630-27641
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
Binyamin Perets, Mark Kozdoba, Shie Mannor;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27642-27667
Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection
Lorenzo Perini, Paul-Christian Bürkner, Arto Klami;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27668-27679
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27680-27708
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip Torr, Adel Bibi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27709-27736
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27737-27821
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
Chi Bach Pham, Wynita Griggs, James Saunderson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27822-27839
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27840-27853
HyperTuning: Toward Adapting Large Language Models without Back-propagation
Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27854-27875
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
Hannah Pinson, Joeri Lenaerts, Vincent Ginis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27876-27906
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27907-27947
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data
Lena Podina, Brydon Eastman, Mohammad Kohandel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27948-27956
Sequential Kernelized Independence Testing
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan, Aaditya Ramdas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27957-27993
Truncating Trajectories in Monte Carlo Reinforcement Learning
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27994-28042
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Re;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28043-28078
Spurious Valleys and Clustering Behavior of Neural Networks
Samuele Pollaci;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28079-28099
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28100-28127
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28128-28150
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28151-28166
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
Drew Prinster, Suchi Saria, Anqi Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28167-28190
Equivariant Polynomials for Graph Neural Networks
Omri Puny, Derek Lim, Bobak Kiani, Haggai Maron, Yaron Lipman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28191-28222
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28223-28243
An Effective Meaningful Way to Evaluate Survival Models
Shi-Ang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28244-28276
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28277-28299
Collaborative Causal Inference with Fair Incentives
Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28300-28320
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28321-28336
Nugget: Neural Agglomerative Embeddings of Text
Guanghui Qin, Benjamin Van Durme;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28337-28350
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28351-28388
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28389-28421
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
Xin Qiu, Risto Miikkulainen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28422-28447
Simple and Fast Group Robustness by Automatic Feature Reweighting
Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28448-28467
DRCFS: Doubly Robust Causal Feature Selection
Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28468-28491
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine Mcleavey, Ilya Sutskever;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28492-28518
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
Matthew Raffel, Drew Penney, Lizhong Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28519-28530
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28531-28548
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt Dubhashi, Hamid Krim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28549-28577
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Anant Raj, Lingjiong Zhu, Mert Gurbuzbalaban, Umut Simsekli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28578-28597
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28598-28617
SpotEM: Efficient Video Search for Episodic Memory
Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28618-28636
How much does Initialization Affect Generalization?
Sameera Ramasinghe, Lachlan Ewen Macdonald, Moshiur Farazi, Hemanth Saratchandran, Simon Lucey;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28637-28655
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28656-28679
A Picture of the Space of Typical Learnable Tasks
Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark Transtrum, James Sethna, Pratik Chaudhari;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28680-28700
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28701-28717
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28718-28728
Feature learning in deep classifiers through Intermediate Neural Collapse
Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A Poggio;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28729-28745
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan Murphy, Finale Doshi-Velez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28746-28767
Beam Tree Recursive Cells
Jishnu Ray Chowdhury, Cornelia Caragea;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28768-28791
Monotonic Location Attention for Length Generalization
Jishnu Ray Chowdhury, Cornelia Caragea;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28792-28808
Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
Ofir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28809-28842
Neural networks trained with SGD learn distributions of increasing complexity
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28843-28863
Simplex Random Features
Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28864-28888
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28889-28913
Escaping saddle points in zeroth-order optimization: the power of two-point estimators
Zhaolin Ren, Yujie Tang, Na Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28914-28975
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28976-29008
Feature Programming for Multivariate Time Series Prediction
Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29009-29029
Run-off Election: Improved Provable Defense against Data Poisoning Attacks
Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, Soheil Feizi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29030-29050
Learning Control-Oriented Dynamical Structure from Data
Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, Marco Pavone;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29051-29062
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29063-29081
Multi-Agent Best Arm Identification with Private Communications
Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29082-29102
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
Nicholas Rittler, Kamalika Chaudhuri;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29103-29129
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29130-29142
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
Borja Rodrı́guez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29143-29160
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodriguez-Sanchez, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29161-29178
Improving Fair Training under Correlation Shifts
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29179-29209
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation
Mark Rowland, Yunhao Tang, Clare Lyle, Remi Munos, Marc G Bellemare, Will Dabney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29210-29231
Robust Satisficing MDPs
Haolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29232-29258
Infinite Action Contextual Bandits with Reusable Data Exhaust
Mark Rucker, Yinglun Zhu, Paul Mineiro;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29259-29274
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29275-29290
A New PHO-rmula for Improved Performance of Semi-Structured Networks
David Rügamer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29291-29305
Geometric Clifford Algebra Networks
David Ruhe, Jayesh K Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29306-29337
Constrained Monotonic Neural Networks
Davor Runje, Sharath M Shankaranarayana;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29338-29353
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
Phillip Rust, Anders Søgaard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29354-29387
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
Raif M. Rustamov, Subhabrata Majumdar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29388-29415
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29416-29440
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29441-29454
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Yves Rychener, Daniel Kuhn, Tobias Sutter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29455-29472
Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29473-29489
Active Ranking of Experts Based on their Performances in Many Tasks
El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29490-29513
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes
Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl Motahari, Babak Khalaj;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29514-29541
Global Selection of Contrastive Batches via Optimization on Sample Permutations
Vin Sachidananda, Ziyi Yang, Chenguang Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29542-29562
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29563-29648
End-to-end Differentiable Clustering with Associative Memories
Bishwajit Saha, Dmitry Krotov, Mohammed J Zaki, Parikshit Ram;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29649-29670
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
Eden Saig, Nir Rosenfeld;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29671-29696
Multi-class Graph Clustering via Approximated Effective $p$-Resistance
Shota Saito, Mark Herbster;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29697-29733
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
Yuta Saito, Qingyang Ren, Thorsten Joachims;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29734-29759
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization
Shinsaku Sakaue, Taihei Oki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29760-29776
PAC-Bayesian Offline Contextual Bandits With Guarantees
Otmane Sakhi, Pierre Alquier, Nicolas Chopin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29777-29799
Provably and Practically Efficient Neural Contextual Bandits
Sudeep Salgia;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29800-29844
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia, Qing Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29845-29875
Optimizing Hyperparameters with Conformal Quantile Regression
David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29876-29893
Raising the Cost of Malicious AI-Powered Image Editing
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29894-29918
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29919-29936
TAN Without a Burn: Scaling Laws of DP-SGD
Tom Sander, Pierre Stock, Alexandre Sablayrolles;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29937-29949
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga S, Ganesh Ramakrishnan, Rishabh K Iyer, Abir De;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29950-29970
Whose Opinions Do Language Models Reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29971-30004
Streaming Active Learning with Deep Neural Networks
Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30005-30021
Random Teachers are Good Teachers
Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30022-30041
Posterior Sampling for Deep Reinforcement Learning
Remo Sasso, Michelangelo Conserva, Paulo Rauber;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30042-30061
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
Ryoma Sato;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30062-30079
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
Naoki Sato, Hideaki Iiduka;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30080-30104
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30105-30118
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction
Andrey Savchenko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30119-30129
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya, Shalabh Bhatnagar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30130-30203
Gibbsian Polar Slice Sampling
Philip Schär, Michael Habeck, Daniel Rudolf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30204-30223
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30224-30251
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30252-30284
Deterministic equivalent and error universality of deep random features learning
Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30285-30320
The Acquisition of Physical Knowledge in Generative Neural Networks
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30321-30341
Modality-Agnostic Variational Compression of Implicit Neural Representations
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30342-30364
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer, Johan Samir Obando Ceron, Aaron Courville, Marc G Bellemare, Rishabh Agarwal, Pablo Samuel Castro;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30365-30380
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
Antonio Sclocchi, Mario Geiger, Matthieu Wyart;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30381-30405
A Fast Optimistic Method for Monotone Variational Inequalities
Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30406-30438
Double-Weighting for Covariate Shift Adaptation
José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30439-30457
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30458-30490
Variational Autoencoding Neural Operators
Jacob H Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30491-30522
Neural Markov Jump Processes
Patrick Seifner, Ramses J Sanchez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30523-30552
Bayesian online change point detection with Hilbert space approximate Student-t process
Jeremy Sellier, Petros Dellaportas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30553-30569
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
Mark Sellke;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30570-30583
Explainability as statistical inference
Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30584-30612
Multi-View Masked World Models for Visual Robotic Manipulation
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30613-30632
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30633-30645
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30646-30688
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30689-30705
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30706-30775
Complementary Attention for Multi-Agent Reinforcement Learning
Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30776-30793
Regularization-free Diffeomorphic Temporal Alignment Nets
Ron Shapira Weber, Oren Freifeld;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30794-30826
Toward Efficient Gradient-Based Value Estimation
Arsalan Sharifnassab, Richard S. Sutton;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30827-30849
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Louis Sharrock, Christopher Nemeth;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30850-30882
On Kinetic Optimal Probability Paths for Generative Models
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30883-30907
Sequential Changepoint Detection via Backward Confidence Sequences
Shubhanshu Shekhar, Aaditya Ramdas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30908-30930
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
Alexander Shekhovtsov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30931-30955
Towards Understanding and Improving GFlowNet Training
Max W Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30956-30975
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
Maohao Shen, Yuheng Bu, Gregory W. Wornell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30976-30991
On Penalty-based Bilevel Gradient Descent Method
Han Shen, Tianyi Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30992-31015
Non-autoregressive Conditional Diffusion Models for Time Series Prediction
Lifeng Shen, James Kwok;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31016-31029
Cross-Modal Fine-Tuning: Align then Refine
Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31030-31056
Auxiliary Modality Learning with Generalized Curriculum Distillation
Yu Shen, Xijun Wang, Peng Gao, Ming Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31057-31076
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31077-31093
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31094-31116
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31117-31150
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31151-31209
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31210-31227
Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31228-31242
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
Ming Shi, Yingbin Liang, Ness Shroff;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31243-31268
Improving the Model Consistency of Decentralized Federated Learning
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31269-31291
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31292-31311
Sequence Modeling with Multiresolution Convolutional Memory
Jiaxin Shi, Ke Alexander Wang, Emily Fox;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31312-31327
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Lei Shi, Jingshen Wang, Tianhao Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31328-31352
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31353-31388
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31389-31407
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective
Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31408-31421
Long Horizon Temperature Scaling
Andy Shih, Dorsa Sadigh, Stefano Ermon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31422-31434
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31435-31488
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning
Dongseok Shim, Seungjae Lee, H. Jin Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31489-31503
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31504-31520
MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement
Wooseok Shin, Byung Hoon Lee, Jin Sob Kim, Hyun Joon Park, Sung Won Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31521-31538
Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
Yongho Shin, Changyeol Lee, Gukryeol Lee, Hyung-Chan An;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31539-31561
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31562-31578
Context Consistency Regularization for Label Sparsity in Time Series
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31579-31595
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31596-31612
Exphormer: Sparse Transformers for Graphs
Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31613-31632
Synthetic data for model selection
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Matan Fintz, Gerard Medioni;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31633-31656
Probabilistic Attention-to-Influence Neural Models for Event Sequences
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin Bennett;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31657-31674
Causal Bounds in Quasi-Markovian Graphs
Madhumitha Shridharan, Garud Iyengar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31675-31692
Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31693-31715
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31716-31731
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31732-31753
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
Ali Siahkoohi, Rudy Morel, Maarten V. De Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31754-31772
Quantitative Universal Approximation Bounds for Deep Belief Networks
Julian Sieber, Johann Gehringer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31773-31787
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
David Simchi-Levi, Chonghuan Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31788-31799
Statistical Learning under Heterogeneous Distribution Shift
Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31800-31851
On the Stepwise Nature of Self-Supervised Learning
James B Simon, Maksis Knutins, Liu Ziyin, Daniel Geisz, Abraham J Fetterman, Joshua Albrecht;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31852-31876
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31877-31914
Text-To-4D Dynamic Scene Generation
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31915-31929
The Hessian perspective into the Nature of Convolutional Neural Networks
Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31930-31968
When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31969-31989
Differentiable Simulations for Enhanced Sampling of Rare Events
Martin Sipka, Johannes C. B. Dietschreit, Lukáš Grajciar, Rafael Gomez-Bombarelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31990-32007
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin, Florian Tramèr, Nicholas Carlini;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32008-32032
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
Joar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32033-32058
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
Oliver Slumbers, David Henry Mguni, Stefano B Blumberg, Stephen Marcus Mcaleer, Yaodong Yang, Jun Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32059-32087
On the Effectiveness of Offline RL for Dialogue Response Generation
Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q Weinberger, Ryan Mcdonald;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32088-32104
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
Alexander Soen, Hisham Husain, Richard Nock;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32105-32144
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32145-32168
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
Samuel Sokota, Ryan D’Orazio, Chun Kai Ling, David J Wu, J Zico Kolter, Noam Brown;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32169-32193
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32194-32210
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32211-32252
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32253-32272
Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
Zifan Song, Xiao Gong, Guosheng Hu, Cairong Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32273-32287
Latent Traversals in Generative Models as Potential Flows
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32288-32303
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32304-32330
RGE: A Repulsive Graph Rectification for Node Classification via Influence
Jaeyun Song, Sungyub Kim, Eunho Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32331-32348
Importance Weighted Expectation-Maximization for Protein Sequence Design
Zhenqiao Song, Lei Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32349-32364
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32365-32417
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
Zhao Song, Xin Yang, Yuanyuan Yang, Lichen Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32418-32462
A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee
Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32463-32482
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32483-32498
Differentiable Tree Operations Promote Compositional Generalization
Paul Soulos, Edward J Hu, Kate Mccurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32499-32520
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32521-32539
Linear Causal Disentanglement via Interventions
Chandler Squires, Anna Seigal, Salil S Bhate, Caroline Uhler;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32540-32560
Generating Language Corrections for Teaching Physical Control Tasks
Megha Srivastava, Noah Goodman, Dorsa Sadigh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32561-32574
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32575-32597
Partial Optimality in Cubic Correlation Clustering
David Stein, Silvia Di Gregorio, Bjoern Andres;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32598-32617
MODeL: Memory Optimizations for Deep Learning
Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32618-32632
Improving Expert Predictions with Conformal Prediction
Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32633-32653
Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers
Grant Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32654-32676
Kernel QuantTree
Diego Stucchi, Paolo Rizzo, Nicolò Folloni, Giacomo Boracchi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32677-32697
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern Menze, Ulrich Bauer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32698-32727
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32728-32748
DUET: 2D Structured and Approximately Equivariant Representations
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32749-32769
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
Min-Kook Suh, Seung-Woo Seo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32770-32782
Adversarial Learning of Distributional Reinforcement Learning
Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32783-32796
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Theodore Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32797-32818
Vector-Valued Control Variates
Zhuo Sun, Alessandro Barp, Francois-Xavier Briol;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32819-32846
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32847-32858
Revisiting Sampling for Combinatorial Optimization
Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32859-32874
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32875-32885
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
Chunlin Sun, Shang Liu, Xiaocheng Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32886-32912
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
Hu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32913-32935
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32936-32990
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32991-33013
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33014-33043
Learning Prescriptive ReLU Networks
Wei Sun, Asterios Tsiourvas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33044-33060
All in a Row: Compressed Convolution Networks for Graphs
Junshu Sun, Shuhui Wang, Xinzhe Han, Zhe Xue, Qingming Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33061-33076
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33077-33099
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33100-33114
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33115-33134
A Neural PDE Solver with Temporal Stencil Modeling
Zhiqing Sun, Yiming Yang, Shinjae Yoo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33135-33155
Feature Expansion for Graph Neural Networks
Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33156-33176
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning
Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33177-33194
Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan, Walid Krichene;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33195-33208
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33209-33228
Tuning Computer Vision Models With Task Rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33229-33239
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
Wesley A Suttle, Amrit Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33240-33267
Tight and fast generalization error bound of graph embedding in metric space
Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33268-33284
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup, Yifan Cui;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33285-33298
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Steven Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33299-33318
Von Mises Mixture Distributions for Molecular Conformation Generation
Kirk Swanson, Jake Lawrence Williams, Eric M Jonas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33319-33342
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
Yasa Syed, Guanyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33343-33364
Adaptive Coordination in Social Embodied Rearrangement
Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33365-33380
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott Maclachlan, Luke Olson, Matthew West;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33381-33395
Learning Mixtures of Gaussians with Censored Data
Wai Ming Tai, Bryon Aragam;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33396-33415
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
Shokichi Takakura, Taiji Suzuki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33416-33447
Learning Neural PDE Solvers with Parameter-Guided Channel Attention
Makoto Takamoto, Francesco Alesiani, Mathias Niepert;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33448-33467
Contextual Conservative Interleaving Bandits
Kei Takemura;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33468-33489
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
Shion Takeno, Yu Inatsu, Masayuki Karasuyama;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33490-33515
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
Shion Takeno, Masahiro Nomura, Masayuki Karasuyama;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33516-33533
Robust Explanation for Free or At the Cost of Faithfulness
Zeren Tan, Yang Tian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33534-33562
Provably Invariant Learning without Domain Information
Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33563-33580
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33581-33598
Regret-Minimizing Double Oracle for Extensive-Form Games
Xiaohang Tang, Le Cong Dinh, Stephen Marcus Mcaleer, Yaodong Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33599-33615
From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang, Kevin Ellis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33616-33631
Understanding Self-Predictive Learning for Reinforcement Learning
Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Avila Pires, Yash Chandak, Remi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33632-33656
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Remi Munos, Bernardo Avila Pires, Michal Valko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33657-33673
Towards Understanding Generalization of Graph Neural Networks
Huayi Tang, Yong Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33674-33719
Towards a better understanding of representation dynamics under TD-learning
Yunhao Tang, Remi Munos;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33720-33738
VA-learning as a more efficient alternative to Q-learning
Yunhao Tang, Remi Munos, Mark Rowland, Michal Valko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33739-33757
Defects of Convolutional Decoder Networks in Frequency Representation
Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33758-33791
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33792-33803
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33804-33815
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33816-33832
Dual Focal Loss for Calibration
Linwei Tao, Minjing Dong, Chang Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33833-33849
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33850-33882
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori, Tatsunori Hashimoto;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33883-33920
Deep Regression Unlearning
Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan Kankanhalli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33921-33939
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
Jacopo Teneggi, Matthew Tivnan, Web Stayman, Jeremias Sulam;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33940-33960
Concurrent Shuffle Differential Privacy Under Continual Observation
Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33961-33982
Finding Generalization Measures by Contrasting Signal and Noise
Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33983-34010
Reinforcement Learning with History Dependent Dynamic Contexts
Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34011-34053
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz, Robin J. Evans, Christopher C. Holmes;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34054-34089
On the Estimation of Gaussian Mixture Copula Models
Ashutosh Tewari;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34090-34104
Target-Aware Generative Augmentations for Single-Shot Adaptation
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34105-34119
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
Qinglong Tian, Xin Zhang, Jiwei Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34120-34142
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Louis C. Tiao, Vincent Dutordoir, Victor Picheny;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34143-34160
Fast Rates for Maximum Entropy Exploration
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Menard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34161-34221
Margin-based sampling in high dimensions: When being active is less efficient than staying passive
Alexandru Tifrea, Jacob Clarysse, Fanny Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34222-34262
Differentiable Multi-Target Causal Bayesian Experimental Design
Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34263-34279
PCA-based Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko, Romain Couillet, Frederic Pascal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34280-34300
Perturbation Analysis of Neural Collapse
Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34301-34329
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Rishabh Tiwari, Pradeep Shenoy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34330-34343
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34344-34368
Distribution Free Domain Generalization
Peifeng Tong, Wu Su, He Li, Jialin Ding, Zhan Haoxiang, Song Xi Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34369-34378
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34379-34393
Robust Weak Supervision with Variational Auto-Encoders
Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34394-34408
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34409-34430
Discrete Key-Value Bottleneck
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34431-34455
Mimetic Initialization of Self-Attention Layers
Asher Trockman, J Zico Kolter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34456-34468
Representer Point Selection for Explaining Regularized High-dimensional Models
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34469-34490
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
Hanna Tseran, Guido Montufar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34491-34532
Provable Data Subset Selection For Efficient Neural Networks Training
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34533-34555
Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34556-34583
Submodular Order Functions and Assortment Optimization
Rajan Udwani;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34584-34614
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34615-34641
From Adaptive Query Release to Machine Unlearning
Enayat Ullah, Raman Arora;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34642-34667
Private Federated Learning with Autotuned Compression
Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34668-34708
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda, Marco Cuturi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34709-34733
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
Adrien Vacher, François-Xavier Vialard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34734-34758
Random Grid Neural Processes for Parametric Partial Differential Equations
Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Omer Deniz Akyildiz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34759-34778
Delayed Feedback in Kernel Bandits
Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34779-34792
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
Boris Van Breugel, Zhaozhi Qian, Mihaela Van Der Schaar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34793-34808
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
Dirk Van Der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34809-34830
Causal Isotonic Calibration for Heterogeneous Treatment Effects
Lars Van Der Laan, Ernesto Ulloa-Perez, Marco Carone, Alex Luedtke;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34831-34854
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela Van Der Schaar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34855-34874
Best Arm Identification in Multi-Agent Multi-Armed Bandits
Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34875-34907
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models
Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34908-34923
Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
Nate Veldt;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34924-34951
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
Ameya Velingker, Maximilian Vötsch, David Woodruff, Samson Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34952-34977
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34978-35005
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35006-35023
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35024-35036
AbODE: Ab initio antibody design using conjoined ODEs
Yogesh Verma, Markus Heinonen, Vikas Garg;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35037-35050
TabLeak: Tabular Data Leakage in Federated Learning
Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35051-35083
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
Paul Vicol;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35084-35119
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35120-35136
Eventual Discounting Temporal Logic Counterfactual Experience Replay
Cameron Voloshin, Abhinav Verma, Yisong Yue;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35137-35150
Transformers Learn In-Context by Gradient Descent
Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, Joao Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35151-35174
Topological Singularity Detection at Multiple Scales
Julius Von Rohrscheidt, Bastian Rieck;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35175-35197
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
Vaclav Voracek, Matthias Hein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35198-35222
Vector Quantized Wasserstein Auto-Encoder
Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35223-35242
Competitive Gradient Optimization
Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35243-35276
On Provable Copyright Protection for Generative Models
Nikhil Vyas, Sham M. Kakade, Boaz Barak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35277-35299
Leveraging Offline Data in Online Reinforcement Learning
Andrew Wagenmaker, Aldo Pacchiano;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35300-35338
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Tal Wagner, Yonatan Naamad, Nina Mishra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35339-35367
Investigating the Role of Model-Based Learning in Exploration and Transfer
Jacob C Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B Hamrick;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35368-35383
UPSCALE: Unconstrained Channel Pruning
Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35384-35412
Poisoning Language Models During Instruction Tuning
Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35413-35425
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35426-35443
Multiplier Bootstrap-based Exploration
Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35444-35490
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35491-35524
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
Chen Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35525-35547
Improved Active Multi-Task Representation Learning via Lasso
Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35548-35578
Tilted Sparse Additive Models
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35579-35604
From Hypergraph Energy Functions to Hypergraph Neural Networks
Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35605-35623
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang, Jin Gao, Zeming Li, Xiaoqin Zhang, Weiming Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35624-35641
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
Haibin Wang, Ce Ge, Hesen Chen, Xiuyu Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35642-35654
Adversarial Policies Beat Superhuman Go AIs
Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35655-35739
On Regularization and Inference with Label Constraints
Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35740-35762
Policy Gradient in Robust MDPs with Global Convergence Guarantee
Qiuhao Wang, Chin Pang Ho, Marek Petrik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35763-35797
Adaptive Smoothing Gradient Learning for Spiking Neural Networks
Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35798-35816
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35817-35835
Generalized Polyak Step Size for First Order Optimization with Momentum
Xiaoyu Wang, Mikael Johansson, Tong Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35836-35863
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Kaiwen Wang, Nathan Kallus, Wen Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35864-35907
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35908-35948
A/B Testing in Network Data with Covariate-Adaptive Randomization
Jialu Wang, Ping Li, Feifang Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35949-35969
Learning Belief Representations for Partially Observable Deep RL
Andrew Wang, Andrew C Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. Mcilraith;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35970-35988
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Hang Wang, Sen Lin, Junshan Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35989-36019
Slot-VAE: Object-Centric Scene Generation with Slot Attention
Yanbo Wang, Letao Liu, Justin Dauwels;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36020-36035
DIVISION: Memory Efficient Training via Dual Activation Precision
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36036-36057
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Re, Ce Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36058-36076
Magneto: A Foundation Transformer
Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36077-36092
Direct Parameterization of Lipschitz-Bounded Deep Networks
Ruigang Wang, Ian Manchester;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36093-36110
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang, Yongyi Mao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36111-36137
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36138-36156
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36157-36173
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36174-36192
Data Efficient Neural Scaling Law via Model Reusing
Peihao Wang, Rameswar Panda, Zhangyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36193-36204
Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery
Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36205-36223
Active Learning based Structural Inference
Aoran Wang, Jun Pang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36224-36245
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36246-36263
Polarity Is All You Need to Learn and Transfer Faster
Qingyang Wang, Michael Alan Powell, Eric W Bridgeford, Ali Geisa, Joshua T Vogelstein;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36264-36284
Projected Tensor Power Method for Hypergraph Community Recovery
Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36285-36307
Estimating Possible Causal Effects with Latent Variables via Adjustment
Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36308-36335
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36336-36354
A Robust Test for the Stationarity Assumption in Sequential Decision Making
Jitao Wang, Chengchun Shi, Zhenke Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36355-36379
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36380-36390
Effective and Efficient Structural Inference with Reservoir Computing
Aoran Wang, Tsz Pan Tong, Jun Pang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36391-36410
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36411-36430
Model-Free Robust Average-Reward Reinforcement Learning
Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36431-36469
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36470-36493
Learning to Bid in Repeated First-Price Auctions with Budgets
Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36494-36513
Network Effects in Performative Prediction Games
Xiaolu Wang, Chung-Yiu Yau, Hoi To Wai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36514-36540
Robustly Learning a Single Neuron via Sharpness
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36541-36577
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36578-36592
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36593-36604
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36605-36625
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36626-36669
Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36670-36693
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36694-36713
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
Richard A Watson, Hengrui Cai, Xinming An, Samuel Mclean, Rui Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36714-36747
Nonparametric Extensions of Randomized Response for Private Confidence Sets
Ian Waudby-Smith, Steven Wu, Aaditya Ramdas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36748-36789
Global optimality for Euclidean CCCP under Riemannian convexity
Melanie Weber, Suvrit Sra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36790-36803
A Universal Unbiased Method for Classification from Aggregate Observations
Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36804-36820
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36821-36838
Boosting Graph Contrastive Learning via Graph Contrastive Saliency
Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36839-36855
Set-membership Belief State-based Reinforcement Learning for POMDPs
Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36856-36867
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36868-36886
Graphically Structured Diffusion Models
Christian Dietrich Weilbach, William Harvey, Frank Wood;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36887-36909
Expectation-Complete Graph Representations with Homomorphisms
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36910-36925
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen, Rizwan Ahmad, Philip Schniter;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36926-36939
Optimizing Mode Connectivity for Class Incremental Learning
Haitao Wen, Haoyang Cheng, Heqian Qiu, Lanxiao Wang, Lili Pan, Hongliang Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36940-36957
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36958-36977
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36978-36989
Fully-Adaptive Composition in Differential Privacy
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36990-37007
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37008-37041
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
Ezekiel Williams, Colin Bredenberg, Guillaume Lajoie;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37042-37065
Approximate Stein Classes for Truncated Density Estimation
Daniel James Williams, Song Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37066-37090
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37091-37107
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
David Wipf;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37108-37132
Uncertainty Estimation for Molecules: Desiderata and Methods
Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37133-37156
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
Jiin Woo, Gauri Joshi, Yuejie Chi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37157-37216
Learning Deep Time-index Models for Time Series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37217-37237
Sharper Bounds for $\ell_p$ Sensitivity Sampling
David Woodruff, Taisuke Yasuda;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37238-37272
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
Blake Woodworth, Konstantin Mishchenko, Francis Bach;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37273-37292
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37293-37312
Causal Proxy Models for Concept-based Model Explanations
Zhengxuan Wu, Karel D’Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37313-37334
Effective Neural Topic Modeling with Embedding Clustering Regularization
Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37335-37357
Adaptive Compositional Continual Meta-Learning
Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37358-37378
Anchor Sampling for Federated Learning with Partial Client Participation
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37379-37416
Solving High-Dimensional PDEs with Latent Spectral Models
Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37417-37438
A Law of Robustness beyond Isoperimetry
Yihan Wu, Heng Huang, Hongyang Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37439-37455
Uncovering Adversarial Risks of Test-Time Adaptation
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37456-37495
Stable Estimation of Heterogeneous Treatment Effects
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37496-37510
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37511-37523
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37524-37539
Towards Understanding Generalization of Macro-AUC in Multi-label Learning
Guoqiang Wu, Chongxuan Li, Yilong Yin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37540-37570
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37571-37581
Delay-agnostic Asynchronous Coordinate Update Algorithm
Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37582-37606
Masked Trajectory Models for Prediction, Representation, and Control
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37607-37623
Disentangled Multi-Fidelity Deep Bayesian Active Learning
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37624-37634
Tight Data Access Bounds for Private Top-$k$ Selection
Hao Wu, Olga Ohrimenko, Anthony Wirth;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37635-37655
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
Lei Wu, Weijie J Su;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37656-37684
Distributional Offline Policy Evaluation with Predictive Error Guarantees
Runzhe Wu, Masatoshi Uehara, Wen Sun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37685-37712
$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37713-37727
Learning Functional Distributions with Private Labels
Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37728-37744
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37745-37764
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Shirley Wu, Mert Yuksekgonul, Linjun Zhang, James Zou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37765-37786
On the Training Instability of Shuffling SGD with Batch Normalization
David Xing Wu, Chulhee Yun, Suvrit Sra;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37787-37845
dugMatting: Decomposed-Uncertainty-Guided Matting
Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37846-37859
Personalized Federated Learning under Mixture of Distributions
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37860-37879
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37880-37918
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37919-37951
Understanding Backdoor Attacks through the Adaptability Hypothesis
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37952-37976
Fair and Optimal Classification via Post-Processing
Ruicheng Xian, Lang Yin, Han Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37977-38012
UMD: Unsupervised Model Detection for X2X Backdoor Attacks
Zhen Xiang, Zidi Xiong, Bo Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38013-38038
Random Shuffle Transformer for Image Restoration
Jie Xiao, Xueyang Fu, Man Zhou, Hongjian Liu, Zheng-Jun Zha;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38039-38058
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
Peiyao Xiao, Kaiyi Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38059-38086
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38087-38099
On the Forward Invariance of Neural ODEs
Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38100-38124
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38125-38136
Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques
Pengtao Xie;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38137-38186
Future-conditioned Unsupervised Pretraining for Decision Transformer
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38187-38203
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38204-38226
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
Chuhan Xie, Wenhao Yang, Zhihua Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38227-38257
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment
Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael Abdalmageed;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38258-38271
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38272-38285
Universal Morphology Control via Contextual Modulation
Zheng Xiong, Jacob Beck, Shimon Whiteson;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38286-38300
Relevant Walk Search for Explaining Graph Neural Networks
Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Muller, Shinichi Nakajima;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38301-38324
Why do Nearest Neighbor Language Models Work?
Frank F. Xu, Uri Alon, Graham Neubig;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38325-38341
MixFlows: principled variational inference via mixed flows
Zuheng Xu, Naitong Chen, Trevor Campbell;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38342-38376
Bit Allocation using Optimization
Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38377-38399
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents
Wenhao Xu, Xuefeng Gao, Xuedong He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38400-38427
Probabilistic Categorical Adversarial Attack and Adversarial Training
Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38428-38442
Hierarchical Neural Coding for Controllable CAD Model Generation
Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D.D. Willis, Yasutaka Furukawa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38443-38461
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
Hainan Xu, Fei Jia, Somshubra Majumdar, He Huang, Shinji Watanabe, Boris Ginsburg;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38462-38484
Constrained Efficient Global Optimization of Expensive Black-box Functions
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38485-38498
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Mengfan Xu, Diego Klabjan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38499-38517
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38518-38534
Quantifying the Variability Collapse of Neural Networks
Jing Xu, Haoxiong Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38535-38550
Progressive Purification for Instance-Dependent Partial Label Learning
Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38551-38565
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38566-38591
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu, Alexander S Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38592-38610
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38611-38654
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38655-38673
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38674-38706
Sequential Predictive Conformal Inference for Time Series
Chen Xu, Yao Xie;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38707-38727
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38728-38748
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38749-38767
Bayesian Design Principles for Frequentist Sequential Learning
Yunbei Xu, Assaf Zeevi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38768-38800
SLAMB: Accelerated Large Batch Training with Sparse Communication
Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38801-38825
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38826-38847
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38848-38880
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38881-38912
A Study on Transformer Configuration and Training Objective
Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38913-38925
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
Rui Xue, Haoyu Han, Mohamadali Torkamani, Jian Pei, Xiaorui Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38926-38937
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38938-38970
Adaptive Computation with Elastic Input Sequence
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38971-38988
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38989-39007
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39008-39034
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39035-39061
Temporally Consistent Transformers for Video Generation
Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39062-39098
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion
Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39099-39109
Self-Interpretable Time Series Prediction with Counterfactual Explanations
Jingquan Yan, Hao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39110-39125
Quantum 3D Graph Learning with Applications to Molecule Embedding
Ge Yan, Huaijin Wu, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39126-39137
Fast Rates in Time-Varying Strongly Monotone Games
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39138-39164
Proper Scoring Rules for Survival Analysis
Hiroki Yanagisawa;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39165-39182
Behavior Contrastive Learning for Unsupervised Skill Discovery
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39183-39204
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
Junwen Yang, Yifan Feng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39205-39233
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39234-39251
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
Shenghao Yang, Kimon Fountoulakis;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39252-39276
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
Soojung Yang, Rafael Gomez-Bombarelli;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39277-39298
Data Poisoning Attacks Against Multimodal Encoders
Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39299-39313
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Yu Yang, Hao Kang, Baharan Mirzasoleiman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39314-39330
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang, Insung Kong, Yongdai Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39331-39348
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39349-39364
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39365-39379
A theory of representation learning gives a deep generalisation of kernel methods
Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39380-39415
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
Joonhyuk Yang, Dongpil Shin, Hye Won Chung;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39416-39452
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
Yongyi Yang, Jacob Steinhardt, Wei Hu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39453-39487
Generative Adversarial Symmetry Discovery
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39488-39508
Boosting Offline Reinforcement Learning with Action Preference Query
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39509-39523
Towards Controlled Data Augmentations for Active Learning
Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39524-39542
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39543-39571
Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
Lingxiao Yang, Hongzhi You, Zonglei Zhen, Dahui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39572-39583
Change is Hard: A Closer Look at Subpopulation Shift
Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39584-39622
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39623-39638
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39639-39659
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39660-39673
How Bad is Top-$K$ Recommendation under Competing Content Creators?
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39674-39701
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39702-39721
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39722-39754
Retrieval-Augmented Multimodal Language Modeling
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39755-39769
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39770-39800
Personalized Federated Learning with Inferred Collaboration Graphs
Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39801-39817
Compositional Exemplars for In-context Learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39818-39833
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39834-39863
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39864-39878
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39879-39902
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye, Ge Yan, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39903-39912
Temporal Label Smoothing for Early Event Prediction
Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39913-39938
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders
Raanan Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39939-39950
Doubly Adversarial Federated Bandits
Jialin Yi, Milan Vojnovic;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39951-39967
Online Prototype Alignment for Few-shot Policy Transfer
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39968-39983
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
Mingxuan Yi, Zhanxing Zhu, Song Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39984-40000
SE(3) diffusion model with application to protein backbone generation
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi Jaakkola;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40001-40039
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40040-40053
Adaptive Estimation of Graphical Models under Total Positivity
Jiaxi Ying, José Vinı́cius De Miranda Cardoso, Daniel P. Palomar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40054-40074
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40075-40092
End-to-End Multi-Object Detection with a Regularized Mixture Model
Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40093-40110
EM-Network: Oracle Guided Self-distillation for Sequence Learning
Ji Won Yoon, Sunghwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40111-40128
Continual Learners are Incremental Model Generalizers
Jaehong Yoon, Sung Ju Hwang, Yue Cao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40129-40146
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40147-40174
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40175-40198
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40199-40224
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40225-40253
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40254-40276
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
Anlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40277-40289
Delving into Noisy Label Detection with Clean Data
Chenglin Yu, Xinsong Ma, Weiwei Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40290-40305
Bag of Tricks for Training Data Extraction from Language Models
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40306-40320
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
Dayou Yu, Weishi Shi, Qi Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40321-40338
Long-Term Rhythmic Video Soundtracker
Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40339-40353
Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu, Yihan Wang, Xiao-Shan Gao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40354-40372
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40373-40389
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
Liren Yu, Jiaming Xu, Xiaojun Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40390-40411
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40412-40424
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures
Xian Yu, Lei Ying;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40425-40451
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning
Zishun Yu, Xinhua Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40452-40474
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40475-40487
Coordinate Descent Methods for Fractional Minimization
Ganzhao Yuan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40488-40518
On the Power of Foundation Models
Yang Yuan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40519-40530
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40531-40554
Traversing Between Modes in Function Space for Fast Ensembling
Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40555-40577
Conformal Prediction with Missing Values
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40578-40604
KDEformer: Accelerating Transformers via Kernel Density Estimation
Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40605-40623
Bayesian Estimation of Differential Privacy
Santiago Zanella-Beguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40624-40636
When is Realizability Sufficient for Off-Policy Reinforcement Learning?
Andrea Zanette;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40637-40668
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
Sepanta Zeighami, Cyrus Shahabi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40669-40680
Sequential Counterfactual Risk Minimization
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40681-40706
LookupFFN: Making Transformers Compute-lite for CPU inference
Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40707-40718
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
Shiwei Zeng, Jie Shen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40719-40748
Generative Graph Dictionary Learning
Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40749-40769
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40770-40803
Offline Learning in Markov Games with General Function Approximation
Yuheng Zhang, Yu Bai, Nan Jiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40804-40829
Learning useful representations for shifting tasks and distributions
Jianyu Zhang, Leon Bottou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40830-40850
Nonparametric Iterative Machine Teaching
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40851-40870
Matrix Estimation for Individual Fairness
Cindy Zhang, Sarah Huiyi Cen, Devavrat Shah;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40871-40887
Graph Contrastive Backdoor Attacks
Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40888-40910
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40911-40931
Tractable Control for Autoregressive Language Generation
Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van Den Broeck;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40932-40945
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data
Yuhua Zhang, Walter H. Dempsey;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40946-40975
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang, Zhiming Ding;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40976-40995
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40996-41018
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41019-41077
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41078-41091
Prompting Large Language Model for Machine Translation: A Case Study
Biao Zhang, Barry Haddow, Alexandra Birch;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41092-41110
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41111-41132
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41133-41150
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41151-41163
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41164-41193
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41194-41218
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
Shenao Zhang, Wanxin Jin, Zhaoran Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41219-41243
One-Step Estimator for Permuted Sparse Recovery
Hang Zhang, Ping Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41244-41267
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
Chenyi Zhang, Tongyang Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41268-41299
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41300-41313
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41314-41330
On the Optimality of Misspecified Kernel Ridge Regression
Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41331-41353
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41354-41381
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Zaixi Zhang, Qi Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41382-41398
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41399-41413
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41414-41428
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41429-41451
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
Shijun Zhang, Jianfeng Lu, Hongkai Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41452-41487
Bi-directional Masks for Efficient N:M Sparse Training
Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41488-41497
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41498-41509
Interactive Object Placement with Reinforcement Learning
Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41510-41522
Optimal Shrinkage for Distributed Second-Order Optimization
Fangzhao Zhang, Mert Pilanci;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41523-41549
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41550-41578
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
Fengxue Zhang, Jialin Song, James C Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41579-41595
A Category-theoretical Meta-analysis of Definitions of Disentanglement
Yivan Zhang, Masashi Sugiyama;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41596-41612
On the Convergence of SARSA with Linear Function Approximation
Shangtong Zhang, Remi Tachet Des Combes, Romain Laroche;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41613-41646
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41647-41676
On the Generalization of Multi-modal Contrastive Learning
Qi Zhang, Yifei Wang, Yisen Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41677-41693
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41694-41714
Towards Trustworthy Explanation: On Causal Rationalization
Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41715-41736
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks
He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41737-41752
Provable Dynamic Fusion for Low-Quality Multimodal Data
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41753-41769
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41770-41785
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41786-41818
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41819-41831
Coder Reviewer Reranking for Code Generation
Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41832-41846
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
Wanrong Zhang, Ruqi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41847-41860
Nearly-tight Bounds for Deep Kernel Learning
Yifan Zhang, Min-Ling Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41861-41879
OpenFE: Automated Feature Generation with Expert-level Performance
Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Qian Liu, Wei Cao, Li Jian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41880-41901
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
Junkai Zhang, Weitong Zhang, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41902-41930
Unlocking Slot Attention by Changing Optimal Transport Costs
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41931-41951
Towards a Persistence Diagram that is Robust to Noise and Varied Densities
Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41952-41972
Robust Situational Reinforcement Learning in Face of Context Disturbances
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41973-41989
Patch-level Contrastive Learning via Positional Query for Visual Pre-training
Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41990-41999
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao, Jerone Andrews, Alice Xiang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42000-42017
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42018-42045
Revisiting Structured Variational Autoencoders
Yixiu Zhao, Scott Linderman;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42046-42057
On Pitfalls of Test-Time Adaptation
Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42058-42080
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42081-42097
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42098-42109
Revisiting Simple Regret: Fast Rates for Returning a Good Arm
Yao Zhao, Connor Stephens, Csaba Szepesvari, Kwang-Sung Jun;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42110-42158
Transformed Distribution Matching for Missing Value Imputation
He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42159-42186
Protecting Language Generation Models via Invisible Watermarking
Xuandong Zhao, Yu-Xiang Wang, Lei Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42187-42199
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42200-42226
Simplified Temporal Consistency Reinforcement Learning
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42227-42246
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42247-42258
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42259-42279
Does Continual Learning Equally Forget All Parameters?
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42280-42303
Online Learning in Stackelberg Games with an Omniscient Follower
Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael Jordan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42304-42316
Structure-informed Language Models Are Protein Designers
Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42317-42338
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42339-42362
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42363-42389
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42390-42402
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42403-42419
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42420-42477
Evidential Interactive Learning for Medical Image Captioning
Ervine Zheng, Qi Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42478-42491
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42492-42505
Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
Shengwei Zhou, Rufan Bai, Xiaowei Wu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42506-42516
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42517-42530
Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V Le, Claire Cui, James Laudon, Jeff Dean;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42531-42542
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Mo Zhou, Rong Ge;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42543-42573
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42574-42588
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
Man Zhou, Jie Huang, Chun-Le Guo, Chongyi Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42589-42601
Controlled Text Generation with Natural Language Instructions
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42602-42613
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42614-42624
Deep Latent State Space Models for Time-Series Generation
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42625-42643
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42644-42657
Fast Online Node Labeling for Very Large Graphs
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42658-42697
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
Runlong Zhou, Ruosong Wang, Simon Shaolei Du;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42698-42723
Phase-aware Adversarial Defense for Improving Adversarial Robustness
Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42724-42741
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
Cai Zhou, Xiyuan Wang, Muhan Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42742-42768
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42769-42789
A Three-regime Model of Network Pruning
Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42790-42809
Learning to Decouple Complex Systems
Zihan Zhou, Tianshu Yu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42810-42828
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42829-42842
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42843-42877
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
Runlong Zhou, Zhang Zihan, Simon Shaolei Du;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42878-42914
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42915-42937
Markovian Gaussian Process Variational Autoencoders
Harrison Zhu, Carles Balsells-Rodas, Yingzhen Li;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42938-42961
Mixture Proportion Estimation Beyond Irreducibility
Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42962-42982
Exploring Model Dynamics for Accumulative Poisoning Discovery
Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42983-43004
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43005-43036
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons
Banghua Zhu, Michael Jordan, Jiantao Jiao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43037-43067
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43068-43104
Benign Overfitting in Deep Neural Networks under Lazy Training
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43105-43128
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen, Bo Li, Ding Zhao;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43129-43157
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43158-43180
XTab: Cross-table Pretraining for Tabular Transformers
Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43181-43204
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43205-43227
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
Junyi Zhu, Ruicong Yao, Matthew B. Blaschko;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43228-43257
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43258-43288
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
Dixian Zhu, Yiming Ying, Tianbao Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43289-43325
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
Yubo Zhuang, Xiaohui Chen, Yun Yang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43326-43346
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz Krzysztof Ziomek, Haitham Bou Ammar;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43347-43368
Revisiting Bellman Errors for Offline Model Selection
Joshua P Zitovsky, Daniel De Marchi, Rishabh Agarwal, Michael Rene Kosorok;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43369-43406
spred: Solving L1 Penalty with SGD
Liu Ziyin, Zihao Wang;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43407-43422
The Benefits of Mixup for Feature Learning
Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu;Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43423-43479
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