Difference between revisions of "Marc Schoenauer"
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* [[Sylvain Gelly]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Levente Kocsis]], [[David Silver]], [[Csaba Szepesvári]] ('''2012'''). ''[http://dl.acm.org/citation.cfm?id=2093548.2093574 The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions]''. [[ACM#Communications|Communications of the ACM]], Vol. 55, No. 3, [http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Applications_files/grand-challenge.pdf pdf preprint] | * [[Sylvain Gelly]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Levente Kocsis]], [[David Silver]], [[Csaba Szepesvári]] ('''2012'''). ''[http://dl.acm.org/citation.cfm?id=2093548.2093574 The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions]''. [[ACM#Communications|Communications of the ACM]], Vol. 55, No. 3, [http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Applications_files/grand-challenge.pdf pdf preprint] | ||
| − | * [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2012'''). '' | + | * [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2012'''). ''Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy''. [https://arxiv.org/abs/1204.2356 arXiv:1204.2356] <ref>[https://en.wikipedia.org/wiki/CMA-ES CMA-ES from Wikipedia]</ref> |
| + | * [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2012'''). ''Alternative Restart Strategies for CMA-ES''. [https://arxiv.org/abs/1207.0206 arXiv:1207.0206] | ||
* [[Thomas Philip Runarsson]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2012'''). ''Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling''. [https://arxiv.org/abs/1210.0374 arXiv:1210.0374] | * [[Thomas Philip Runarsson]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2012'''). ''Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling''. [https://arxiv.org/abs/1210.0374 arXiv:1210.0374] | ||
* [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2013'''). ''KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization''. [https://arxiv.org/abs/1308.2655 arXiv:1308.2655] | * [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2013'''). ''KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization''. [https://arxiv.org/abs/1308.2655 arXiv:1308.2655] | ||
Revision as of 09:59, 13 September 2019
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). Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy. arXiv:1204.2356 [7]
- 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
- 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
