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#

learning-theory

Here are 44 public repositories matching this topic...

Fast and flexible AutoML with learning guarantees.

  • UpdatedNov 30, 2023
  • Jupyter Notebook
SMPyBandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI:https://pypi.org/project/SMPyBandits/ and documentation on

  • UpdatedApr 30, 2024
  • Jupyter Notebook

Repository for collection of research papers on privacy.

  • UpdatedJul 19, 2024

Distributional Generalization in NLP. A roadmap.

  • UpdatedDec 12, 2022
  • Jupyter Notebook

The first comprehensive Lean 4 formalization of statistical learning theory, featuring Gaussian Lipschitz concentration and Dudley's entropy integral-establishes a reusable foundation for formalizing ML theory.

  • UpdatedFeb 9, 2026
  • Lean

Model Zoos for Continual Learning (ICLR 22)

  • UpdatedMay 29, 2023
  • Python

Formal Psychological Models of Categorization and Learning

  • UpdatedMar 31, 2025
  • R

Scinis-learn is a package of non-OOP functions for Machine Learning developed by young Moroccan AI engineering students from scratch.

  • UpdatedNov 17, 2023
  • Python

Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)

  • UpdatedMar 25, 2023
  • Jupyter Notebook

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

  • UpdatedMay 23, 2022
  • Python

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

  • UpdatedJul 20, 2021
  • MATLAB

Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)

  • UpdatedOct 25, 2022
  • Python

Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University

  • UpdatedSep 24, 2021

A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)

  • UpdatedFeb 22, 2021
  • Jupyter Notebook

Official code for Paper: "Can One Modality Model Synergize Training of Other Modality Models?" implemented in PyTorch

  • UpdatedMar 5, 2025
  • Python

source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"

  • UpdatedOct 25, 2023
  • Jupyter Notebook

A program that learns your polynomial using just two queries

  • UpdatedJun 9, 2020
  • Python

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