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Michèle Sebag^[1]

Michèle Sebag,
a French mathematician and computer scientist, head ofLaboratoire de Recherche en Informatique, LRI,French National Centre for Scientific Research, CNRS,Paris-Sud 11 University, and along withMarc Schoenauer head theTAO Project Team^[2],National Institute for Research in Computer Science and Control, INRIA,Saclay,Île-de-France. Her research interests include the broad range ofartificial intelligence,machine learning,knowledge discovery,optimization andgenetic programming^[3].

Selected Publications

^[4][5][6]

1990 ...

• Michèle Sebag (1990).A symbolic-numerical approach for supervised learning from examples and rules. Ph.D. thesis,Paris Dauphine University
• Marc Schoenauer,Michèle Sebag (1990).Incremental Learning of Rules and Meta-rules.ML 1990
• Michèle Sebag,Marc Schoenauer (1992).Learning to Control Inconsistent Knowledge.ECAI 1992
• Michèle Sebag (1997).Stochastic Heuristics for Machine Learning & Machine Learning for Stochastic Optimization. Habilitation,Paris-Sud 11 University

2000 ...

• Céline Rouveirol,Michèle Sebag (eds.) (2001).Inductive Logic Programming - 11th International Conference, ILP 2001 Strasbourg, France, September 9–11, 2001 Proceedings.Lecture Notes in Computer Science, Vol. 2157,Springer

Jérôme Maloberti,Michèle Sebag (2001).θ-Subsumption in a Constraint Satisfaction Perspective. ILP 2001

2005 ...

• Sylvain Gelly,Nicolas Bredèche,Michèle Sebag (2005).From Factorial and Hierarchical HMM to Bayesian Network : A Representation Change Algorithm. Proceedings of the Symposium on Abstraction, Reformulation and Approximation 2005, p107-120 (SARA 2005).Lecture Notes in Computer Science, Vol. 3607
• Marc Schoenauer,Michèle Sebag (2006).Using Domain Knowledge in Evolutionary System Identification.arXiv:cs/0602021

2010 ...

• Romaric Gaudel,Michèle Sebag (2010).Feature Selection as a one-player game.ICML 2010,pdf
• Ilya Loshchilov,Marc Schoenauer,Michèle Sebag (2010).Dominance-Based Pareto-Surrogate for Multi-Objective Optimization.SEAL 2010,pdf^[7]
• Ilya Loshchilov,Marc Schoenauer,Michèle Sebag (2010).A mono surrogate for multiobjective optimization.GECCO 2010,pdf
• Ilya Loshchilov,Marc Schoenauer,Michèle Sebag (2011).Adaptive coordinate descent.GECCO 2011,pdf^[8]
• Sylvain Gelly,Marc Schoenauer,Michèle Sebag,Olivier Teytaud,Levente Kocsis,David Silver,Csaba Szepesvári (2012).The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions.Communications of the ACM, Vol. 55, No. 3,pdf preprint
• Ilya Loshchilov,Marc Schoenauer,Michèle Sebag (2012).Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy.arXiv:1204.2356^[9]
• Ilya Loshchilov,Marc Schoenauer,Michèle Sebag (2012).Alternative Restart Strategies for CMA-ES.arXiv:1207.0206
• Thomas Philip Runarsson,Marc Schoenauer,Michèle Sebag (2012).Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling.arXiv:1210.0374
• Ilya Loshchilov,Marc Schoenauer,Michèle Sebag (2013).KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization.arXiv:1308.2655

2015 ...

• Olivier Bousquet,Sylvain Gelly,Karol Kurach,Marc Schoenauer,Michèle Sebag,Olivier Teytaud,Damien Vincent (2017).Toward Optimal Run Racing: Application to Deep Learning Calibration.arXiv:1706.03199
• Alice Schoenauer-Sebag,Marc Schoenauer,Michèle Sebag (2017).Stochastic Gradient Descent: Going As Fast As Possible But Not Faster.arXiv:1709.01427
• Herilalaina Rakotoarison,Marc Schoenauer,Michèle Sebag (2019).Automated Machine Learning with Monte-Carlo Tree Search.arXiv:1906.00170

External Links

• Home page of Michele Sebag
• Michèle Sebag - University of Paris-Sud 11 - videolectures.net
• Michèle Sebag - Algorithm Selection and Configuration with Monte-Carlo Tree Search,WiDS Zürich 2019: Keynote,slides as pdf,YouTube Video

References

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