Marc Schoenauer
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Home * People * Marc Schoenauer
Marc Schoenauer [1]
Marc Schoenauer,
a French mathematician and computer scientist, along with Michèle Sebag head of the TAO Project Team [2]
and senior researcher of LRI with INRIA Saclay-IDF, CNRS, Paris-Sud 11 University.
He graduated at École Normale Supérieure in Paris, and obtained a Ph.D. in Numerical analysis at Université Paris 6 in 1980.
Schoenauer has been working in the field of evolutionary computation (EC) and genetic programming since the early 90s, more particularly at the interface between EC and machine learning [3].
Contents
Selected Publications
1990 ...
- 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
- Daniel Delahaye, Jean-Marc Alliot, Marc Schoenauer, Jean-Loup Farges (1994). Genetic Algorithms for Air Traffic Assignment. ECAI 1994
- Zbigniew Michalewicz, Marc Schoenauer (1996). Evolutionary algorithms for constrained parameter optimization problems. pdf
2000 ...
- Sana Ben Hamida, Marc Schoenauer (2000). An Adaptive Algorithm for Constrained Optimization Problems. PPSN 2000
- Aguston E. Eiben, Marc Schoenauer (2005). Evolutionary Computing. arXiv:cs/0511004
- Marc Schoenauer, Michèle Sebag (2006). Using Domain Knowledge in Evolutionary System Identification. arXiv:cs/0602021
- Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer (2006). Universal Consistency and Bloat in GP. pdf
- Nur Merve Amil, Nicolas Bredèche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud (2009). A Statistical Learning Perspective of Genetic Programming. EuroGP 2009, pdf
2010 ...
- 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). Alternative Restart Strategies for CMA-ES. arXiv:1207.0206 [7]
- 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
- 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 Marc Schoenauer, head of TAO team
- The Mathematics Genealogy Project - Marc Schoenauer
- Marc Schoenauer - Full Interview, 2018, YouTube Video
