Difference between revisions of "Marc Schoenauer"

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* [[Nur Merve Amil]], [[Nicolas Bredèche]], [[Christian Gagné]], [[Sylvain Gelly]], [[Marc Schoenauer]], [[Olivier Teytaud]] ('''2009'''). ''A Statistical Learning Perspective of Genetic Programming''. EuroGP 2009, [https://hal.inria.fr/inria-00369782/document pdf]
 
* [[Nur Merve Amil]], [[Nicolas Bredèche]], [[Christian Gagné]], [[Sylvain Gelly]], [[Marc Schoenauer]], [[Olivier Teytaud]] ('''2009'''). ''A Statistical Learning Perspective of Genetic Programming''. EuroGP 2009, [https://hal.inria.fr/inria-00369782/document pdf]
 
==2010 ...==
 
==2010 ...==
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* [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2010'''). ''[https://link.springer.com/chapter/10.1007/978-3-642-17298-4_24 Dominance-Based Pareto-Surrogate for Multi-ObjectiveOptimization]''. [https://dblp.org/db/conf/seal/seal2010.html SEAL 2010], [https://hal.inria.fr/inria-00522653/document pdf]
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* [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2010'''). ''A mono surrogate for multiobjective optimization''. [https://dblp.org/db/conf/gecco/gecco2010.html GECCO 2010], [https://hal.inria.fr/inria-00483948/document pdf]
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* [[Ilya Loshchilov]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2011'''). ''Adaptive coordinate descent.'' [https://dblp.org/db/conf/gecco/gecco2011.html GECCO 2011], [http://www.loshchilov.com/publications/GECCO2011_AdaptiveCoordinateDescent.pdf pdf] <ref>[https://en.wikipedia.org/wiki/Adaptive_coordinate_descent Adaptive coordinate descent from Wikipedia]</ref>
 
* [[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'''). ''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'''). ''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>
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* [[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]
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==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''. [https://arxiv.org/abs/1706.03199 arXiv:1706.03199]
 
* [[Olivier Bousquet]], [[Sylvain Gelly]], [[Karol Kurach]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Damien Vincent]] ('''2017'''). ''Toward Optimal Run Racing: Application to Deep Learning Calibration''. [https://arxiv.org/abs/1706.03199 arXiv:1706.03199]
 
* [[Alice Schoenauer-Sebag]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2017'''). ''Stochastic Gradient Descent: Going As Fast As Possible But Not Faster''. [https://arxiv.org/abs/1709.01427 arXiv:1709.01427]
 
* [[Alice Schoenauer-Sebag]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2017'''). ''Stochastic Gradient Descent: Going As Fast As Possible But Not Faster''. [https://arxiv.org/abs/1709.01427 arXiv:1709.01427]

Revision as of 08:32, 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].

Selected Publications

[4] [5] [6]

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External Links

References

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