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hal-01120892v1
Communication dans un congrès
Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsang-Cheng Su, Fabien Teytaud et al. Differential Evolution for Strongly Noisy Optimization: Use 1.01$^n$ Resamplings at Iteration n and Reach the -1/2 Slope 2015 IEEE Congress on Evolutionary Computation (IEEE CEC), May 2015, Sendai, Japan. 2015, <http://www.cec2015.org> |
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inria-00374910v1
Communication dans un congrès
Philippe Rolet, Michèle Sebag, Olivier Teytaud. Optimal robust expensive optimization is tractable Gecco 2009, 2009, Montréal, Canada. 8 p., 2009 |
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hal-01077624v1
Communication dans un congrès
Cheng-Wei Chou, Li-Wen Wu, Hui-Min Wang, Fabien Teytaud, Olivier Teytaud et al. Towards a solution of 7x7 Go with Meta-MCTS Advances in Computer Games, 2011, Tilburg, Netherlands. International Conference on Computers and Games 2011, pp.12, 2012, International Conference on Computers and Games 2011 |
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hal-01077627v1
Communication dans un congrès
David Auger, Jialin Liu, Sylvie Ruette, David L. Saint-Pierre, Olivier Teytaud. Sparse Binary Zero-Sum Games Asian Conference on Machine Learning, 2014, Ho-Chi-Minh-Ville, Vietnam. 29, pp.16, 2014 |
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hal-01077628v1
Communication dans un congrès
David L. Saint-Pierre, Olivier Teytaud. Nash and the Bandit Approach for Adversarial Portfolios CIG 2014 - Computational Intelligence in Games, Aug 2014, Dortmund, Germany. IEEE, pp.7, 2014, Computational Intelligence in Games. <10.1109/CIG.2014.6932897> |
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hal-01077626v1
Communication dans un congrès
Marie-Liesse Cauwet, Olivier Teytaud, Shih-Yuan Chiu, Kuo-Min Lin, Shi-Jim Yen et al. Parallel Evolutionary Algorithms Performing Pairwise Comparisons Jun He and Thomas Jansen and Gabriela Ochoa and Christine Zarges. Foundations of Genetic Algorithms, 2015, Aberythswyth, United Kingdom. ACM, pp.99-113 2015, Foundations of Genetic Algorithms |
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inria-00625855v1
Communication dans un congrès
Marc Schoenauer, Fabien Teytaud, Olivier Teytaud. A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize Artificial Evolution, Oct 2011, Angers, France. 2011 |
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hal-01194542v1
Communication dans un congrès
Olivier Teytaud. Quasi-random numbers improve the CMA-ES on the BBOB testbed Stephane Bonnevay; Pierrick Legrand; Nicolas Montmarché; Evelyne Lutton; Marc Schoenauer. Artificial Evolution (EA2015), 2015, Lyon, France. Springer Verlag, pp.13 |
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hal-00907671v1
Communication dans un congrès
Jérémie Decock, Olivier Teytaud. Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond Quasi-Convex Functions EA - 11th Biennal International Conference on Artificial Evolution - 2013, Oct 2013, Bordeaux, France. Springer, 2013, Lecture Notes in Computer Science; Artificial Evolution |
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hal-01406727v1
Communication dans un congrès
Fabien Teytaud, Olivier Teytaud. QR mutations improve many evolution strategies -a lot on highly multimodal problems T. Friedrich and F. Neumann. ACM-GECCO'16, Jul 2016, Denver, United States. pp.35-36, Poster in GECCO'16 Companion. <10.1145/1235> |
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hal-01306643v1
Communication dans un congrès
Marie-Liesse Cauwet, Olivier Teytaud. Multivariate bias reduction in capacity expansion planning 19th Power Systems Computation Conference, Jun 2016, Gênes, Italy. 2016, <http://www.pscc2016.net/> |
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hal-00755663v1
Communication dans un congrès
Jérémie Decock, Olivier Teytaud. Noisy Optimization Complexity Under Locality Assumption FOGA - Foundations of Genetic Algorithms XII - 2013, Jan 2013, Adelaide, Australia. 2013 |
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hal-00105953v1
Chapitre d'ouvrage
Yann Guermeur, Olivier Teytaud. Estimation et contrôle des performances en généralisation des réseaux de neurones Younes Bennani. Apprentissage Connexioniste, Hermès, pp.283, 2006, collection I2C |
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hal-01256660v1
Communication dans un congrès
Abdallah Saffidine, Olivier Teytaud, Shi-Jim Yen. Go Complexities Advances in Computer Games, 2015, Leiden, Netherlands. 2015, Advances in Computer Games. <10.1007/978-3-319-27992-3_8> |
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hal-01406444v1
Poster
Fabien Teytaud, Marc Schoenauer, Olivier Teytaud. Simple Tools for Multimodal Optimization GECCO - 13th annual conference companion on genetic and evolutionary computation, Jul 2011, Dublin, Ireland. 2011, Proceedings of the 13th annual conference companion on genetic and evolutionary computation |
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inria-00459017v1
Communication dans un congrès
Philippe Rolet, Olivier Teytaud. Adaptive Noisy Optimization EvoStar 2010, Apr 2010, Istambul, Turkey. 2010 |
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hal-00758147v1
Chapitre d'ouvrage
Chang-Shing Lee, Mei-Hui Wang, Olivier Teytaud. Fuzzy Ontologies for the Game of Go R. Seising, E. Trillas, C. Moraga, S. Termini. On Fuzziness. A Homage to Lotfi A. Zadeh, Springer, pp.367-372, 2012 |
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hal-01217128v2
Poster
Sandra Astete-Morales, Marie-Liesse Cauwet, Olivier Teytaud. Criteria and Convergence Rates in Noisy Optimization Genetic and Evolutionary Computation Conference (GECCO 2015), Jul 2015, Madrid, Spain. 2015, <10.1145/2739482.2764722> |
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hal-00744982v1
Article dans une revue
Chang-Shing Lee, Olivier Teytaud, Mei-Hui Wang, Shi-Jim Yen. Computational Intelligence Meets the Game of Go @ IEEE WCCI 2012 Computational Intelligence Magazine, IEEE, 2012 |
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inria-00433866v1
Communication dans un congrès
Philippe Rolet, Michèle Sebag, Olivier Teytaud. Boosting Active Learning to Optimality: a Tractable Monte-Carlo, Billiard-based Algorithm ECML, 2009, Bled, Slovenia. pp.302-317, 2009 |
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hal-00863577v1
Article dans une revue
Cheng-Wei Chou, Ping-Chiang Chou, Jean-Joseph Christophe, Adrien Couetoux, Pierre De Freminville et al. Strategic Choices in Optimization Journal of Information Sciences and Engineering, Institute of Information Science, 2013 |
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hal-00863584v1
Communication dans un congrès
Sandra Astete-Morales, Jialin Liu, Olivier Teytaud. Noisy optimization convergence rates Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Jul 2013, Amsterdam, Netherlands. ACM, pp.223--224, 2013, <10.1145/2464576.2464687> |
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inria-00437146v1
Communication dans un congrès
Vincent Berthier, Hassen Doghmen, Olivier Teytaud. Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search Lion4, 2010, venice, Italy. 14 p., 2010 |
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inria-00437140v1
Communication dans un congrès
Philippe Rolet, Olivier Teytaud. Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis Lion4, 2010, Venice, Italy. 2010 |
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hal-00758158v1
Article dans une revue
François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau. Evolutionary Optimization of Low-Discrepancy Sequences ACM Transactions on Modeling and Computer Simulation, Association for Computing Machinery, 2012, 22 (2), pp.9:1-9:25 |
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inria-00451416v1
Communication dans un congrès
Fabien Teytaud, Olivier Teytaud. Bias and variance in continuous EDA EA 09, Oct 2009, Strasbourg, France. 2009 |
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inria-00495087v1
Communication dans un congrès
Fabien Teytaud, Olivier Teytaud. Log(lambda) Modifications for Optimal Parallelism Parallel Problem Solving From Nature, Sep 2010, Krakow, Poland. 2010 |
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inria-00593154v1
Communication dans un congrès
C.-W. Chou, Olivier Teytaud, Shi-Jim Yen. Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo EvoGames 2011, Apr 2011, Turino, Italy. Springer-Verlag, 6624, pp.73-82, 2011, Lecture Notes in Computer Science; Applications of Evolutionary Computation. <10.1007/978-3-642-20525-5> |
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inria-00000544v2
Communication dans un congrès
Olivier Teytaud, Mohamed Jebalia, Anne Auger. Algorithms (X,sigma,eta) : quasi-random mutations for Evolution Strategies Evolution Artificielle, 2005, Lille, France. Springer (Artificial Evolution), 12 p., 2005 |
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hal-00712417v2
Communication dans un congrès
Michèle Sebag, Olivier Teytaud. Combining Myopic Optimization and Tree Search: Application to MineSweeper Youssef Hamadi and Marc Schoenauer. LION6, Learning and Intelligent Optimization, 2012, Paris, France. Sringer Verlag, 7219, pp.222-236, 2012, LNCS |
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