Olivier Teytaud

Publications

Article dans une revue (35)

Evolutionary Retrofitting Mathurin Videau,Mariia Zameshina,Alessandro Leite,Laurent Najman,Marc Schoenaueret al. ACM Transactions on Evolutionary Learning and Optimization, 2026, 6 (1), pp.1-45. ⟨10.1145/3771736⟩ Article dans une revue hal-04733511v2
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning Mathurin Videau,Alessandro Leite,Marc Schoenauer,Olivier Teytaud ACM Transactions on Evolutionary Learning and Optimization, In press, ⟨10.48550/arXiv.2412.04291⟩ Article dans une revue hal-05492969v1
Mixture of Experts for Image Classification: What's the Sweet Spot? Mathurin Videau,Alessandro Leite,Marc Schoenauer,Olivier Teytaud Transactions on Machine Learning Research Journal, 2025 Article dans une revue hal-05329451v1
Programmation des échecs et d’autres jeux Olivier Teytaud Interstices, 2023 Article dans une revue hal-04231368v2
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking Laurent Meunier,Herilalaina Rakotoarison,Pak Kan Wong,Baptiste Roziere,Jeremy Rapinet al. IEEE Transactions on Evolutionary Computation, 2022, 26 (3), pp.490-500. ⟨10.1109/TEVC.2021.3108185⟩ Article dans une revue hal-03154019v1
Analysis and fabrication of antireflective coating for photovoltaics based on a photonic-crystal concept and generated by evolutionary optimization Pauline Bennet,Perrine Juillet,Sara Ibrahim,Vincent Berthier,Mamadou Aliou Barryet al. Physical Review B, 2021, 103 (12), pp.125135. ⟨10.1103/PhysRevB.103.125135⟩ Article dans une revue hal-03172152v1
Polygames: Improved Zero Learning Tristan Cazenave,Yen-Chi Chen,Guan-Wei Chen,Shi-Yu Chen,Xian-Dong Chiuet al. International Computer Games Association Journal, 2020, 42 (4), pp.244-256 Article dans une revue hal-03117499v1
Le bridge, nouveau déﬁ de l’intelligence artificielle ? Veronique Ventos,Véronique Ventos,Olivier Teytaud Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2017, 31 (3), pp.249 - 279. ⟨10.3166/ria.31.249-279⟩ Article dans une revue hal-01665780v1
Sparse Zero-Sum Games as Stable Functional Feature Selection Nataliya Sokolovska,Olivier Teytaud,Salwa Rizkalla,Karine Clément,Jean-Daniel Zucker PLoS ONE, 2015, 10 (9), pp.e0134683. ⟨10.1371/journal.pone.0134683⟩ Article dans une revue hal-01223887v1
Analysis of runtime of optimization algorithms for noisy functions over discrete codomains Youhei Akimoto,Sandra Astete-Morales,Olivier Teytaud Theoretical Computer Science, 2015, 605, pp.42:50. ⟨10.1016/j.tcs.2015.04.008⟩ Article dans une revue hal-01194556v1
T2FS-based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go Chang-Shing Lee,Mei-Hui Wang,Meng-Jhen Wu,Olivier Teytaud,Shi-Jim Yen IEEE Transactions on Fuzzy Systems, 2015, 23 (2), pp.400-420. ⟨10.1109/TFUZZ.2014.2312989⟩ Article dans une revue hal-01059822v1
Algorithm Portfolios for Noisy Optimization Marie-Liesse Cauwet,Jialin Liu,Rozière Baptiste,Olivier Teytaud Annals of Mathematics and Artificial Intelligence, 2015, pp.1-30. ⟨10.1007/s10472-015-9486-2⟩ Article dans une revue hal-01223113v1
Simple and Cumulative Regret for Continuous Noisy Optimization Sandra Astete-Morales,Marie-Liesse Cauwet,Jialin Liu,Olivier Teytaud Theoretical Computer Science, 2015, 617, pp.12-27. ⟨10.1016/j.tcs.2015.09.032⟩ Article dans une revue hal-01194564v1
Strategic Choices in Optimization Cheng-Wei Chou,Ping-Chiang Chou,Jean-Joseph Christophe,Adrien Couetoux,Pierre de Freminvilleet al. Journal of Information Science and Engineering, 2013, 727-747 Article dans une revue hal-00863577v1
Evolutionary Optimization of Low-Discrepancy Sequences François-Michel De Rainville,Christian Gagné,Olivier Teytaud,Denis Laurendeau ACM Transactions on Modeling and Computer Simulation, 2012, 22 (2), pp.9:1-9:25 Article dans une revue hal-00758158v1
Genetic fuzzy markup language for game of NoGo Chang-Shing Lee,Mei-Hui Wang,Yu-Jen Chen,Heni Hagras,Meng-Jhen Wuet al. Knowledge-Based Systems, 2012, 34, pp.64-80 Article dans une revue hal-00766773v1
Computational Intelligence Meets the Game of Go @ IEEE WCCI 2012 Chang-Shing Lee,Olivier Teytaud,Mei-Hui Wang,Shi-Jim Yen IEEE Computational Intelligence Magazine, 2012, 7 (4), pp.10-12 Article dans une revue hal-00744982v1
The Frontier of Decidability in Partially Observable Recursive Games David Auger,Olivier Teytaud International Journal of Foundations of Computer Science, 2012, Special Issue on "Frontier between Decidability and Undecidability", 23 (7), pp.1439-1450 Article dans une revue hal-00710073v1
The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions Sylvain Gelly,Marc Schoenauer,Michèle Sebag,Olivier Teytaud,Levente Kocsiset al. Communications of the ACM, 2012, 55 (3), pp.106-113 Article dans une revue hal-00695370v3
Human vs. Computer Go Competition in FUZZ-IEEE 2011 Shih-Yuan Chiu,Hassen Doghmen,Chang-Shing Lee,Fabien Teytaud,Olivier Teytaudet al. International Computer Games Association Journal, 2011, 34 (4), pp.243-247 Article dans une revue hal-00766202v1
THE IEEE SSCI 2011 HUMAN VS. COMPUTER-GO COMPETITION Shi-Jim Yen,Cheng-Wei Chou,Chang-Shing Lee,Hassen Doghmen,Olivier Teytaud International Computer Games Association Journal, 2011, 34 (2), pp.106-107. ⟨10.3233/ICG-2011-34215⟩ Article dans une revue hal-00766205v1
Lower Bounds for Comparison Based Evolution Strategies using VC-dimension and Sign Patterns Hervé Fournier,Olivier Teytaud Algorithmica, 2010 Article dans une revue inria-00452791v1
Current Frontiers in Computer Go Arpad Rimmel,Olivier Teytaud,Chang-Shing Lee,Shi-Jim Yen,Mei-Hui Wanget al. IEEE Transactions on Computational Intelligence and AI in games, 2010, in press Article dans une revue inria-00544622v1
The Game of Go @ IEEE WCCI 2010 Chang-Shing Lee,Mei-Hui Wang,Olivier Teytaud,Yuan-Liang Wang IEEE Computational Intelligence Magazine, 2010, 5 (4), pp.6-7. ⟨10.1109/MCI.2010.938371⟩ Article dans une revue inria-00632302v1
Intelligent Agents for the Game of Go Jean-Baptiste Hoock,Chang-Shing Lee,Arpad Rimmel,Fabien Teytaud,Olivier Teytaudet al. IEEE Computational Intelligence Magazine, 2010 Article dans une revue inria-00544758v2
9x9 GO AS BLACK WITH KOMI 7.5: AT LAST SOME GAMES WON AGAINST TOP PLAYERS IN THE DISADVANTAGEOUS SITUATION Simon Billouet,Jean-Baptiste Hoock,Chang-Shing Lee,Olivier Teytaud,Shi-Jim Yen International Computer Games Association Journal, 2009 Article dans une revue inria-00528770v1
Continuous lunches are free plus the design of optimal optimization algorithms Anne Auger,Olivier Teytaud Algorithmica, 2009, ⟨10.1007/s00453-008-9244-5⟩ Article dans une revue inria-00369788v1
The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments Chang-Shing Lee,Mei-Hui Wang,Guillaume Chaslot,Jean-Baptiste Hoock,Arpad Rimmelet al. IEEE Transactions on Computational Intelligence and AI in games, 2009 Article dans une revue inria-00369786v1
Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo Louis Chatriot,Christophe Fiter,Guillaume Chaslot,Sylvain Gelly,Jean-Baptiste Hoocket al. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2008 Article dans une revue inria-00343509v1
comparison-based algorithms are robust and randomized algorithms are anytime. Sylvain Gelly,Sylvie Ruette,Olivier Teytaud Evolutionary Computation, 2007 Article dans une revue inria-00173221v1
On the hardness of offline multiobjective optimization Olivier Teytaud Evolutionary Computation, 2007 Article dans une revue inria-00173239v1
Optimal estimation for Large-Eddy Simulation of turbulence and application to the analysis of subgrid models Antoine Moreau,Olivier Teytaud,Jean-Pierre Bertoglio Physics of Fluids, 2006, 18, pp.105101. ⟨10.1063/1.2357974⟩ Article dans une revue hal-00078115v2
Universal Consistency and Bloat in GP Sylvain Gelly,Olivier Teytaud,Nicolas Bredeche,Marc Schoenauer Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2006 Article dans une revue inria-00112840v1
Bayesian Networks: a Non-Frequentist Approach for Parametrization, and a more Accurate Structural Complexity Measure Sylvain Gelly,Olivier Teytaud Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2006 Article dans une revue inria-00112838v1
An adaptative filtering method to evalute normal vectors and surface areas of 3d objects. Application to snow images from X-ray tomography Frédéric Flin,Jean-Bruno Brzoska,David Coeurjolly,Romeu A. Pieritz,Bernard Lesaffreet al. IEEE Transactions on Image Processing, 2005, 14 (5), pp.585-596 Article dans une revue hal-00185086v1

Communication dans un congrès (117)

Interactive Latent Diffusion Model Mathurin Videau,Nickolai Knizev,Alessandro Leite,Marc Schoenauer,Olivier Teytaud GECCO 2023 - Genetic and Evolutionary Computation Conference, ACM SIGEVO, Jul 2023, Lisbon, Portugal. pp.586-596, ⟨10.1145/3583131.3590471⟩ Communication dans un congrès hal-04570089v1
Variance Reduction for Better Sampling in Continuous Domains Laurent Meunier,Carola Doerr,Jeremy Rapin,Olivier Teytaud Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.154-168, ⟨10.1007/978-3-030-58112-1_11⟩ Communication dans un congrès hal-02935395v1
Versatile black-box optimization Jialin Liu,Antoine Moreau,Mike Preuss,Jeremy Rapin,Baptiste Roziereet al. GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.620-628, ⟨10.1145/3377930.3389838⟩ Communication dans un congrès hal-03049284v1
EvolGAN: Evolutionary Generative Adversarial Networks Baptiste Rozière,Fabien Teytaud,Vlad Hosu,Hanhe Lin,Jeremy Rapinet al. 15th Asian Conference on Computer Vision (ACCV), Nov 2020, Virtual, Japan Communication dans un congrès hal-03091443v1
Surprising strategies obtained by stochastic optimization in partially observable games Marie-Liesse Cauwet,Olivier Teytaud CEC 2018 - IEEE Congress on Evolutionary Computation, Jul 2018, Rio de Janeiro, Brazil. pp.1-8, ⟨10.1109/CEC.2018.8477919⟩ Communication dans un congrès hal-01829721v1
Direct Model Predictive Control: A Theoretical and Numerical Analysis Marie-Liesse Cauwet,Jérémie Decock,Jialin Liu,Olivier Teytaud PSCC 2018 - XX Power Systems Computation Conference, Jun 2018, Dublin, Ireland Communication dans un congrès hal-01701623v1
Analysis of Different Types of Regret in Continuous Noisy Optimization Sandra Astete-Morales,Marie-Liesse Cauwet,Olivier Teytaud Genetic and Evolutionary Computation Conference 2016, Jul 2016, Denver, United States. pp.205-212 Communication dans un congrès hal-01347814v2
Multivariate bias reduction in capacity expansion planning Marie-Liesse Cauwet,Olivier Teytaud 19th Power Systems Computation Conference, Jun 2016, Gênes, Italy Communication dans un congrès hal-01306643v1
Learning opening books in partially observable games: using random seeds in Phantom Go Tristan Cazenave,Jialin Liu,Fabien Teytaud,Olivier Teytaud CIG 2016 - Computer intelligence and Games, Sep 2016, Santorini, Greece. pp.55-61 Communication dans un congrès hal-01413229v1
Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms Marie-Liesse Cauwet,Olivier Teytaud Genetic and Evolutionary Computation Conference, Jul 2016, Denver, United States. pp.1101-1106 Communication dans un congrès hal-01306636v2
QR mutations improve many evolution strategies -a lot on highly multimodal problems Fabien Teytaud,Olivier Teytaud The Genetic and Evolutionary Computation Conference (GECCO 2016), Jul 2016, Denver, United States. pp.35-36, ⟨10.1145/1235⟩ Communication dans un congrès hal-01406727v1
Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound Sandra Astete-Morales,Marie-Liesse Cauwet,Olivier Teytaud Foundations of Genetic Algorithms, 2015, Aberythswyth, United Kingdom. pp.76--84 Communication dans un congrès hal-01077625v2
On the codimension of the set of optima: large scale optimisation with few relevant variables Vincent Berthier,Olivier Teytaud Artificial Evolution 2015, 2015, Lyon, France. To appear Communication dans un congrès hal-01194519v1
Go Complexities Abdallah Saffidine,Olivier Teytaud,Shi-Jim Yen Advances in Computer Games, 2015, Leiden, Netherlands. ⟨10.1007/978-3-319-27992-3_8⟩ Communication dans un congrès hal-01256660v1
Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope Shih-Yuan Chiu,Ching-Nung Lin,Jialin Liu,Tsang-Cheng Su,Fabien Teytaudet al. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.338 - 345, ⟨10.1109/CEC.2015.7256911⟩ Communication dans un congrès hal-01245526v1
Item response theory with fuzzy markup language for parameter estimation and validation Wang Mei-Hui,Chi-Shiang Wang,Chang-Shing Lee,Olivier Teytaud,Jialin Liuet al. 2015 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 7, ⟨10.1109/FUZZ-IEEE.2015.7337884⟩ Communication dans un congrès hal-01245695v1
Evolutionary Cutting Planes Jérémie Decock,David L. Saint-Pierre,Olivier Teytaud Artificial Evolution (EA2015), 2015, Lyon, France Communication dans un congrès hal-01194540v1
Depth, balancing, and limits of the Elo model Marie-Liesse Cauwet,Olivier Teytaud,Hua-Min Liang,Shi-Jim Yen,Hung-Hsuan Linet al. IEEE Conference on Computational Intelligence and Games 2015, Aug 2015, Tainan, Taiwan Communication dans un congrès hal-01223116v1
The Rectangular Seeds of Domineering, Atari-Go and Breakthrough Tristan Cazenave,Jialin Liu,Olivier Teytaud 2015 IEEE Conference on Computational Intelligence and Games (CIG), Aug 2015, Tainan, Taiwan. pp.530 - 531, ⟨10.1109/CIG.2015.7317904⟩ Communication dans un congrès hal-01245531v1
Combining policies: the best of human expertise and neurocontrol Vincent Berthier,Adrien Couëtoux,Olivier Teytaud Artificial Evolution 2015, 2015, Lyon, France. To appear Communication dans un congrès hal-01194516v1
Variance Reduction in Population-Based Optimization: Application to Unit Commitment Jean-Joseph Christophe,Jérémie Decock,Jialin Liu,Olivier Teytaud Artificial Evolution (EA2015), 2015, Lyon, France Communication dans un congrès hal-01194510v1
Sieves method in fuzzy control: logarithmically increase the number of rules Vincent Berthier,Olivier Teytaud IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 9 Communication dans un congrès hal-01215806v1
Differential Evolution for Strongly Noisy Optimization: Use 1.01$^n$ Resamplings at Iteration n and Reach the -1/2 Slope Shih-Yuan Chiu,Ching-Nung Lin,Jialin Liu,Tsang-Cheng Su,Fabien Teytaudet al. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC), May 2015, Sendai, Japan Communication dans un congrès hal-01120892v1
Nash Reweighting of Monte Carlo Simulations: Tsumego David L. St-Pierre,Jialin Liu,Olivier Teytaud 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.1458 - 1465, ⟨10.1109/CEC.2015.7257060⟩ Communication dans un congrès hal-01245520v1
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early Marie-Liesse Cauwet,Jialin Liu,Olivier Teytaud Learning and Intelligent Optimization Conference, Feb 2014, Florida, United States Communication dans un congrès hal-00926638v1
Nash and the Bandit Approach for Adversarial Portfolios David L. Saint-Pierre,Olivier Teytaud CIG 2014 - Computational Intelligence in Games, IEEE, Aug 2014, Dortmund, Germany. pp.7, ⟨10.1109/CIG.2014.6932897⟩ Communication dans un congrès hal-01077628v1
Direct model predictive control Jean-Joseph Christophe,Jérémie Decock,Olivier Teytaud European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2014, Bruges, Belgium Communication dans un congrès hal-00958192v1
Meta online learning: experiments on a unit commitment problem Jialin Liu,Olivier Teytaud European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium Communication dans un congrès hal-00973397v1
A mathematically derived number of resamplings for noisy optimization Jialin Liu,David L. Saint-Pierre,Olivier Teytaud Companion - Genetic and Evolutionary Computation Conference (GECCO 2014), Jul 2014, Vancouver, Canada. pp.61-62 Communication dans un congrès hal-00979442v1
Sparse Binary Zero-Sum Games David Auger,Jialin Liu,Sylvie Ruette,David L. Saint-Pierre,Olivier Teytaud Asian Conference on Machine Learning, 2014, Ho-Chi-Minh-Ville, Vietnam. pp.16 Communication dans un congrès hal-01077627v1
Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond Quasi-Convex Functions Jérémie Decock,Olivier Teytaud EA - 11th Biennal International Conference on Artificial Evolution - 2013, Oct 2013, Bordeaux, France Communication dans un congrès hal-00907671v1
Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits Nicolas Galichet,Michèle Sebag,Olivier Teytaud Asian Conference on Machine Learning 2013, Nov 2013, Canberra, Australia. pp.245-260 Communication dans un congrès hal-00924062v2
Noisy optimization convergence rates Sandra Astete Morales,Jialin Liu,Olivier Teytaud Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Jul 2013, Amsterdam, Netherlands. pp.223--224, ⟨10.1145/2464576.2464687⟩ Communication dans un congrès hal-00863584v1
Noisy Optimization Complexity Under Locality Assumption Jérémie Decock,Olivier Teytaud FOGA - Foundations of Genetic Algorithms XII - 2013, Jan 2013, Adelaide, Australia Communication dans un congrès hal-00755663v1
Continuous Upper Confidence Trees with Polynomial Exploration - Consistency David Auger,Adrien Couetoux,Olivier Teytaud ECML/PKKD 2013, Sep 2013, Prague, Czech Republic. pp.194-209 Communication dans un congrès hal-00835352v1
A simple Tsumego Generator Ping-Chiang Chou,Shi-Jim Yen,Cheng-Wei Chou,Ching-Nung Lin,Chang-Shing Leeet al. GPW, 2012, Kanagawa, Japan Communication dans un congrès hal-00766190v1
Strategic Choices: Small Budgets and Simple Regret Cheng-Wei Chou,Ping-Chiang Chou,Chang-Shing Lee,David L. Saint-Pierre,Olivier Teytaudet al. TAAI, 2012, Hualien, Taiwan Communication dans un congrès hal-00753145v2
Improving the exploration in Upper Confidence Trees Adrien Couetoux,Hassen Doghmen,Olivier Teytaud Learning and Intelligent OptimizatioN Conference LION 6, Jan 2012, Paris, France Communication dans un congrès hal-00745208v1
Towards a solution of 7x7 Go with Meta-MCTS Cheng-Wei Chou,Li-Wen Wu,Hui-Min Wang,Fabien Teytaud,Olivier Teytaudet al. Advances in Computer Games, 2011, Tilburg, Netherlands. pp.12 Communication dans un congrès hal-01077624v1
Learning a Move-Generator for Upper Con dence Trees Adrien Couetoux,Olivier Teytaud,Hassen Doghmen International Computer Symposium 2012, Dec 2012, Hualien, Taiwan Communication dans un congrès hal-00759822v1
Optimistic Heuristics for MineSweeper Olivier Buffet,Chang-Shing Lee,Woanting Lin,Olivier Teytaud ICS - International Computer Symposium - 2012, Dec 2012, Hualien, Taiwan. pp.199-207, ⟨10.1007/978-3-642-35452-6_22⟩ Communication dans un congrès hal-00750577v2
Combining Myopic Optimization and Tree Search: Application to MineSweeper Michèle Sebag,Olivier Teytaud LION6, Learning and Intelligent Optimization, Proc. LION 6, 2012, Paris, France. pp.222-236 Communication dans un congrès hal-00712417v2
Continuous Upper Con dence Trees Adrien Couetoux,Jean-Baptiste Hoock,Nataliya Sokolovska,Olivier Teytaud,Nicolas Bonnard Learning and Intelligent Optimization: 5th International Conference, LION 5, Jan 2011, Rome, Italy Communication dans un congrès hal-00745206v1
Continuous Rapid Action Value Estimates Adrien Couetoux,Mario Milone,Matyas Brendel,Hassen Doghmen,Michèle Sebaget al. The 3rd Asian Conference on Machine Learning (ACML2011), Nov 2011, Taoyuan, Taiwan. pp.19-31 Communication dans un congrès hal-00642459v1
Consistent Belief State Estimation, with Application to Mines Adrien Couetoux,Mario Milone,Olivier Teytaud Technologies and Applications of Artificial Intelligence, International Conference on, 2011, Hsinchu, Taiwan. pp.280-285 Communication dans un congrès hal-00712388v1
A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize Marc Schoenauer,Fabien Teytaud,Olivier Teytaud Artificial Evolution, Oct 2011, Angers, France Communication dans un congrès inria-00625855v1
Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo C.-W. Chou,Olivier Teytaud,Shi-Jim Yen EvoGames 2011, Apr 2011, Turino, Italy. pp.73-82, ⟨10.1007/978-3-642-20525-5⟩ Communication dans un congrès inria-00593154v1
Computational and Human Intelligence in Blind Go. Ping-Chiang Chou,Hassen Doghmen,Chang-Shing Lee,Fabien Teytaud,Olivier Teytaudet al. Computational Intelligence and Games, Aug 2011, Seoul, North Korea Communication dans un congrès inria-00625849v1
Online Sparse Bandits David L. Saint-Pierre,Quentin Louveaux,Olivier Teytaud The 3rd Asian Conference on Machine Learning (ACML2011), Nov 2011, Taoyuan, Taiwan Communication dans un congrès hal-00642461v1
Monte Carlo Tree Search appliqué à la gestion de stocks Adrien Couetoux,Olivier Teytaud,Nicolas Bonnard,Nicolas Omont,Olivier Ratier ROADEF 2011, Mar 2011, France. N°241, p.I-149 Communication dans un congrès hal-00623668v1
Upper Confidence Trees with Short Term Partial Information Olivier Teytaud,Sébastien Flory EvoGames 2011, Apr 2011, Turino, Italy. pp.153-162, ⟨10.1007/978-3-642-20525-5⟩ Communication dans un congrès inria-00585475v2
Q-Learning with Double Progressive Widening : Application to Robotics Nataliya Sokolovska,Olivier Teytaud,Mario Milone ICONIP 2011, Nov 2011, China. pp.103-112 Communication dans un congrès hal-00624832v1
Progress Rate in Noisy Genetic Programming for Choosing λ Jean-Baptiste Hoock,Olivier Teytaud Artificial Evolution, Oct 2011, Angers, France Communication dans un congrès inria-00622150v1
Continuous Upper Confidence Trees Adrien Couёtoux,Jean-Baptiste Hoock,Nataliya Sokolovska,Olivier Teytaud,Nicolas Bonnard LION'11: Proceedings of the 5th International Conference on Learning and Intelligent OptimizatioN, Jan 2011, Italy. pp.TBA Communication dans un congrès hal-00542673v2
Comparison-Based Complexity of Multiobjective Optimization Olivier Teytaud GECCO 2011, 2011, Dublin, Ireland. pp.801-806 Communication dans un congrès hal-00786635v1
Random positions in Go Benard Helmstetter,Chang-Shing Lee,Fabien Teytaud,Olivier Teytaud,Wang Mei-Huiet al. Computational Intelligence and Games, Aug 2011, Seoul, North Korea Communication dans un congrès inria-00625815v1
Lemmas on Partial Observation, with Application to Phantom Games Fabien Teytaud,Olivier Teytaud Computational Intelligence and Games, Aug 2011, Seoul, North Korea Communication dans un congrès inria-00625794v1
Handling Expensive Optimization with Large Noise Rémi Coulom,Philippe Rolet,Nataliya Sokolovska,Olivier Teytaud Foundations of Genetic Algorithms, Jan 2011, Austria. pp.TBA Communication dans un congrès hal-00517157v2
Consistency Modiﬁcations for Automatically Tuned Monte-Carlo Tree Search Vincent Berthier,Hassen Doghmen,Olivier Teytaud Lion4, 2010, venice, Italy. 14 p Communication dans un congrès inria-00437146v1
A Principled Method for Exploiting Opening Books Romaric Gaudel,Jean-Baptiste Hoock,Julien Pérez,Nataliya Sokolovska,Olivier Teytaud International Conference on Computers and Games, Sep 2010, Kanazawa, Japan Communication dans un congrès inria-00484043v1
Adaptive Noisy Optimization Philippe Rolet,Olivier Teytaud EvoStar 2010, Apr 2010, Istambul, Turkey Communication dans un congrès inria-00459017v1
Complexity Bounds for Batch Active Learning in Classification Philippe Rolet,Olivier Teytaud ECML 2010, Oct 2010, Barcelone, Spain Communication dans un congrès inria-00533318v1
On the Huge Benefit of Decisive Moves in Monte-Carlo Tree Search Algorithms Fabien Teytaud,Olivier Teytaud IEEE Conference on Computational Intelligence and Games, Aug 2010, Copenhagen, Denmark Communication dans un congrès inria-00495078v1
Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis Philippe Rolet,Olivier Teytaud Lion4, 2010, Venice, Italy Communication dans un congrès inria-00437140v1
Bandit-Based Genetic Programming Jean-Baptiste Hoock,Olivier Teytaud 13th European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey Communication dans un congrès inria-00452887v2
Scalability and Parallelization of Monte-Carlo Tree Search Amine Bourki,Guillaume Chaslot,Matthieu Coulm,Vincent Danjean,Hassen Doghmenet al. The International Conference on Computers and Games 2010, Sep 2010, Kanazawa, Japan Communication dans un congrès inria-00512854v1
Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing Amine Bourki,Matthieu Coulm,Philippe Rolet,Olivier Teytaud,Paul Vayssière ICINCO2010, 2010, funchal madeira, Portugal. pp.10 Communication dans un congrès inria-00467796v1
Biasing Monte-Carlo Simulations through RAVE Values Arpad Rimmel,Fabien Teytaud,Olivier Teytaud The International Conference on Computers and Games 2010, Sep 2010, Kanazawa, Japan Communication dans un congrès inria-00485555v1
Log(lambda) Modifications for Optimal Parallelism Fabien Teytaud,Olivier Teytaud Parallel Problem Solving From Nature, Sep 2010, Krakow, Poland Communication dans un congrès inria-00495087v1
Du jeu de Go au Havannah : variantes d'UCT et coups décisifs Fabien Teytaud,Olivier Teytaud RFIA, Jan 2010, Caen, France Communication dans un congrès inria-00454541v1
Optimizing Low-Discrepancy Sequences with an Evolutionary Algorithm François-Michel De Rainville,Christian Gagné,Olivier Teytaud,Denis Laurendeau Genetic and Evolutionary Computation Conference, 2009, Montréal, Canada. 8 p Communication dans un congrès inria-00386475v1
Optimal robust expensive optimization is tractable Philippe Rolet,Michèle Sebag,Olivier Teytaud Gecco 2009, ACM, 2009, Montréal, Canada. 8 p Communication dans un congrès inria-00374910v1
Why one must use reweighting in Estimation Of Distribution Algorithms Fabien Teytaud,Olivier Teytaud GECCO, 2009, Montréal, Canada Communication dans un congrès inria-00369780v1
On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers Guillaume Chaslot,Jean-Baptiste Hoock,Fabien Teytaud,Olivier Teytaud ESANN, Apr 2009, Bruges, Belgium Communication dans un congrès inria-00380125v1
Adding expert knowledge and exploration in Monte-Carlo Tree Search Guillaume Chaslot,Christophe Fiter,Jean-Baptiste Hoock,Arpad Rimmel,Olivier Teytaud Advances in Computer Games, 2009, Pamplona, Spain Communication dans un congrès inria-00386477v1
Grid coevolution for adaptive simulations; application to the building of opening books in the game of Go Pierre Audouard,Guillaume Chaslot,Jean-Baptiste Hoock,Arpad Rimmel,J. Perezet al. EvoGames, 2009, Tuebingen, Germany Communication dans un congrès inria-00369783v1
Creating an Upper-Conﬁdence-Tree program for Havannah Fabien Teytaud,Olivier Teytaud ACG 12, May 2009, Pamplona, Spain Communication dans un congrès inria-00380539v1
Upper Conﬁdence Trees and Billiards for Optimal Active Learning Philippe Rolet,Michèle Sebag,Olivier Teytaud CAP09, 2009, Hammamet, Tunisia Communication dans un congrès inria-00369787v1
A Statistical Learning Perspective of Genetic Programming Merve Amil,Nicolas Bredeche,Christian Gagné,Sylvain Gelly,Marc Schoenaueret al. EuroGP, 2009, Tuebingen, Germany. pp.327-338 Communication dans un congrès inria-00369782v1
On the parallel speed-up of Estimation of Multivariate Normal Algorithm and Evolution Strategies Fabien Teytaud,Olivier Teytaud EvoNum (evostar workshop), 2009, Tuebingen, Germany Communication dans un congrès inria-00369781v1
A Novel Ontology for Computer Go Knowledge Management Chang-Shing Lee,Wang Mei-Hui,Tzung-Pei Hong,Guillaume Chaslot,Jean-Baptiste Hoocket al. IEEE FUZZ, 2009, Jeju, South Korea Communication dans un congrès inria-00386476v1
Bias and variance in continuous EDA Fabien Teytaud,Olivier Teytaud EA 09, Oct 2009, Strasbourg, France Communication dans un congrès inria-00451416v1
Boosting Active Learning to Optimality: a Tractable Monte-Carlo, Billiard-based Algorithm Philippe Rolet,Michèle Sebag,Olivier Teytaud ECML, 2009, Bled, Slovenia. pp.302-317 Communication dans un congrès inria-00433866v1
When does quasi-random work ? Olivier Teytaud Parallel Problem Solving from Nature, Sep 2008, Dortmund, Germany Communication dans un congrès inria-00287863v1
Lower bounds for evolution strategies using VC-dimension Olivier Teytaud,Hervé Fournier Parallel Problem Solving from Nature, Sep 2008, Dortmund, Germany. 10 p Communication dans un congrès inria-00287845v1
On the almost optimality of blind active sampling. Olivier Teytaud CAP 2008, May 2008, Porquerolles, France Communication dans un congrès inria-00287874v1
On the Parallelization of Monte-Carlo planning Sylvain Gelly,Jean-Baptiste Hoock,Arpad Rimmel,Olivier Teytaud,Yann Kalemkarian ICINCO, May 2008, Madeira, Portugal Communication dans un congrès inria-00287867v1
Introduction de connaissances expertes en Bandit-Based Monte-Carlo Planning avec application au Computer-Go Louis Chatriot,Sylvain Gelly,Jean-Baptiste Hoock,Julien Pérez,Arpad Rimmelet al. JFPDA, Jun 2008, Metz, France Communication dans un congrès inria-00287883v1
Continuous lunches are free! Anne Auger,Olivier Teytaud GECCO, 2007, London, United Kingdom Communication dans un congrès inria-00173209v1
DCMA, yet another derandomization in covariance-matrix-adaptation Olivier Teytaud,Sylvain Gelly GECCO, 2007, London, United Kingdom Communication dans un congrès inria-00173207v1
Slightly beyond Turing-Computability for studying Genetic Programming Olivier Teytaud MCU'07, 2007, Orléans, France Communication dans un congrès inria-00173241v1
Non linear programming for stochastic dynamic programming Olivier Teytaud,Sylvain Gelly Icinco 2007, 2007, Angers, France Communication dans un congrès inria-00173202v1
Conditionning, halting criteria and choosing lambda Olivier Teytaud EA07, 2007, Tours, France Communication dans un congrès inria-00173237v1
Change Point Detection and Meta-Bandits for Online Learning in Dynamic Environments Cédric Hartland,Nicolas Baskiotis,Sylvain Gelly,Michèle Sebag,Olivier Teytaud CAp 2007 : 9è Conférence francophone sur l'apprentissage automatique, Jul 2007, Grenoble, France. pp.237-250 Communication dans un congrès inria-00164033v1
Anytime many-armed bandits Olivier Teytaud,Sylvain Gelly,Michèle Sebag CAP07, 2007, Grenoble, France Communication dans un congrès inria-00173263v1
Active learning in regression, with an application to stochastic dynamic programming Olivier Teytaud,Sylvain Gelly,Jérémie Mary ICINCO 2007, 2007, Angers, France Communication dans un congrès inria-00173204v1
On the adaptation of the noise level for stochastic optimization Olivier Teytaud,Anne Auger IEEE Congress on Evolutionary Computation, 2007, Singapour, Singapore Communication dans un congrès inria-00173224v1
Inductive-deductive systems: a mathematical logic and statistical learning perspective Nicolas Baskiotis,Michèle Sebag,Olivier Teytaud CAP, 2007, Grenoble, France. 16 p Communication dans un congrès inria-00173259v2
Resource-Aware Parameterizations of EDA Sylvain Gelly,Olivier Teytaud,Christian Cagne Congress on Evolutionary Computation, Jul 2006, Vancouver, BC, Canada Communication dans un congrès inria-00112803v1
OpenDP a free Reinforcement Learning toolbox for discrete time control problems Sylvain Gelly,Olivier Teytaud NIPS Workshop on Machine Learning Open Source Software, Dec 2006, Whistler (B.C.), Canada Communication dans un congrès inria-00117392v1
Learning for stochastic dynamic programming Sylvain Gelly,Jérémie Mary,Olivier Teytaud 11th European Symposium on Artificial Neural Networks (ESANN), Apr 2006, bruges Belgium, France Communication dans un congrès inria-00112796v1
How entropy-theorems can show that approximating high-dim Pareto-fronts is too hard Olivier Teytaud Bridging the Gap between Theory and Practice - Workshop PPSN-BTP, 2006, Reykjavik, Iceland Communication dans un congrès hal-00113362v1
Why Simulation-Based Approachs with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions Olivier Teytaud 2006 IEEE International Conference on Evolutionary Computation, 2006, Vancouver, BC, Canada. 12 p Communication dans un congrès hal-00113370v1
On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy Sylvain Gelly,Jérémie Mary,Olivier Teytaud Parallel Problem Solving from Nature, Sep 2006, Reykjavik, Iceland Communication dans un congrès inria-00112816v1
Comparison-based algorithms: worst-case optimality, optimality w.r.t a bayesian prior, the intraclass-variance minimization in EDA, and implementations with billiards Sylvain Gelly,Sylvie Ruette,Olivier Teytaud Parallel Problem Solving from Nature BTP-Workshop, Sep 2006, Reykjavik, France Communication dans un congrès inria-00112813v1
General lower bounds for evolutionary algorithms Olivier Teytaud,Sylvain Gelly Parallel Problem Solving from Nature, Sep 2006, Reykjavik, Iceland Communication dans un congrès inria-00112820v1
Statistical inference and data mining: false discoveries control Stéphane Lallich,Olivier Teytaud,Elie Prudhomme COMPSTAT 2006 - 17th Symposium on COmputational Statistics, 2006, Rome, Italy. 12 p Communication dans un congrès hal-00113593v1
Quasi-Random resamplings, with applications to rule-samplng, cross-validation and (su-)bagging Olivier Teytaud,Sylvain Gelly,Stéphane Lallich,Elie Prudhomme International Workshop on Intelligent Information Acces --- IIIA 2006, 2006, F, France Communication dans un congrès hal-00113368v1
A Statistical Learning Theory Approach of Bloat Olivier Teytaud,Sylvain Gelly,Nicolas Bredeche,Marc Schoenauer Genetic and Evolutionary Computation Conference, Jun 2005, Washington D.C., United States Communication dans un congrès inria-00000549v1
Convergence proofs, convergence rates and stopping criterions for multi-modal or multi-objective evolutionary algorithms Yann Bonnemay,Michèle Sebag,Olivier Teytaud Evolution artificielle, 2005, Lille, France. 12 p Communication dans un congrès inria-00000545v1
Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable ? Sylvain Gelly,Olivier Teytaud,Nicolas Bredeche,Marc Schoenauer Conférence d'apprentissage, 2005, Nice, France. 16 p Communication dans un congrès inria-00000546v2
Taylor-based pseudo-metrics for random process fitting in dynamic programming. Sylvain Gelly,Jérémie Mary,Olivier Teytaud PDMIA, 2005, Lille, France. 16 p Communication dans un congrès inria-00000217v1
Algorithms (X,sigma,eta) : quasi-random mutations for Evolution Strategies Olivier Teytaud,Mohamed Jebalia,Anne Auger Evolution Artificielle, 2005, Lille, France. 12 p Communication dans un congrès inria-00000544v2
Bayesian networks : a better than frequentist approach for parametrization, and a more accurate structural complexity measure than the number of parameters Sylvain Gelly,Olivier Teytaud CAP, 2005, Nice, France. 16 p Communication dans un congrès inria-00000541v1
Local and global oder 3/2 convergence of a surrogate evolutionary algorithm Anne Auger,Marc Schoenauer,Olivier Teytaud GECCO - genetic and evolutionary computation conference, 2005, Washington, France. pp.857-864 Communication dans un congrès inria-00000540v1
Multigrid Convergence and Surface Area Estimation David Coeurjolly,Frédéric Flin,Olivier Teytaud,Laure Tougne Theoretical Foundations of Computer Vision "Geometry, Morphology, and Computational Imaging", 2003, Dagsthul, Germany. pp.101--119 Communication dans un congrès hal-00185210v1
Segmentation and Length Estimation of 3D Discrete Curves David Coeurjolly,Isabelle Debled-Rennesson,Olivier Teytaud Digital and Image Geometry: Advanced Lectures, 2001, Dagsthul, Germany. pp.295--313 Communication dans un congrès inria-00100500v2

Poster de conférence (2)

Criteria and Convergence Rates in Noisy Optimization Sandra Astete-Morales,Marie-Liesse Cauwet,Olivier Teytaud Genetic and Evolutionary Computation Conference (GECCO 2015), Jul 2015, Madrid, Spain. 2015, ⟨10.1145/2739482.2764722⟩ Poster de conférence hal-01217128v2
Simple Tools for Multimodal Optimization Marc Schoenauer,Fabien Teytaud,Olivier Teytaud 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 Poster de conférence hal-01406444v1

Document associé à des manifestations scientifiques (2)

Optimization of Energy Policies Using Direct Value Search Jérémie Decock,Jean-Joseph Christophe,Olivier Teytaud 9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgium. 2014 Document associé à des manifestations scientifiques hal-00997562v1
Noisy Optimization Sandra Astete-Morales,Marie-Liesse Cauwet,Adrien Couetoux,Jérémie Decock,Jialin Liuet al. Dagstuhl seminar 13271, 2013, Dagstuhl, Germany. 2013 Document associé à des manifestations scientifiques hal-00844305v1

Ouvrages (1)

Mathématiques pour l'agrégation Olivier Teytaud,Christophe Antonini,Pierre Borgnat,Annie Chateau,Edouard Lebeau Dunod, pp.736, 2007 Ouvrages inria-00173250v1

Chapitre d'ouvrage (6)

On Averaging the Best Samples in Evolutionary Computation Laurent Meunier,Yann Chevaleyre,Jeremy Rapin,Clément Royer,Olivier Teytaud Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020, pp.661-674, 2020, ⟨10.1007/978-3-030-58115-2_46⟩ Chapitre d'ouvrage hal-03135540v1
Artificial Intelligence for Games Bruno Bouzy,Tristan Cazenave,Vincent Corruble,Olivier Teytaud A Guided Tour of Artificial Intelligence Research : Volume II: AI Algorithms, Springer, pp.313-337, 2020, ⟨10.1007/978-3-030-06167-8_11⟩ Chapitre d'ouvrage hal-03118174v1
Fuzzy Ontologies for the Game of Go Chang-Shing Lee,Mei-Hui Wang,Olivier Teytaud R. Seising, E. Trillas, C. Moraga, S. Termini. On Fuzziness. A Homage to Lotfi A. Zadeh, Springer, pp.367-372, 2012 Chapitre d'ouvrage hal-00758147v1
Lower Bounds for Evolution Strategies Olivier Teytaud Anne Auger, Benjamin Doerr. Theory of Randomized Search Heuristics, 1, World Scientific, pp.327-354, 2011, Series on Theoretical Computer Science Chapitre d'ouvrage inria-00593179v2
Association rule interestingness: measure and statistical validation Stéphane Lallich,Olivier Teytaud,Elie Prudhomme Guillet, Hamilton. Quality measures in data mining, Springer, pp.25, 2006 Chapitre d'ouvrage hal-00113594v1
Estimation et contrôle des performances en généralisation des réseaux de neurones Yann Guermeur,Olivier Teytaud Younes Bennani. Apprentissage Connexioniste, Hermès, pp.283, 2006, collection I2C Chapitre d'ouvrage hal-00105953v1

Pré-publication, Document de travail (9)

Agnostic latent diversity enhancement in generative modeling Mariia Zameshina,Mathurin Videau,Alessandro Leite,Marc Schoenauer,Laurent Najmanet al. 2024 Pré-publication, Document de travail hal-04661473v2
PrivacyGAN: robust generative image privacy Mariia Zameshina,Marlene Careil,Olivier Teytaud,Laurent Najman 2023 Pré-publication, Document de travail hal-04248792v1
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation Mariia Zameshina,Olivier Teytaud,Laurent Najman 2023 Pré-publication, Document de travail hal-04242350v1
Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon,Baptiste Roziere,Laurent Meunier,Jean Tarbouriech,Olivier Teytaudet al. 2020 Pré-publication, Document de travail hal-02979184v1
The photonics and ARCoating testbeds in Nevergrad Pauline Bennet,Emmanuel Centeno,Jérémy Rapin,Olivier Teytaud,Antoine Moreau 2020 Pré-publication, Document de travail hal-02613161v1
Evolutionary algorithms converge towards evolved biological photonic structures Mamadou Aliou Barry,Vincent Berthier,Marie-Claire Cambourieux,Rémi Pollès,Bodo D. Wiltset al. 2018 Pré-publication, Document de travail hal-01856961v1
Boosting a Bridge Artificial Intelligence Veronique Ventos,Yves Costel,Olivier Teytaud,Solène Thépaut Ventos 2017 Pré-publication, Document de travail hal-01665867v1
Toward Optimal Run Racing: Application to Deep Learning Calibration Olivier Bousquet,Sylvain Gelly,Karol Kurach,Marc Schoenauer,Michèle Sebaget al. 2017 Pré-publication, Document de travail hal-01634381v1
Multi-armed Bandit, Dynamic Environments and Meta-Bandits Cédric Hartland,Sylvain Gelly,Nicolas Baskiotis,Olivier Teytaud,Michèle Sebag 2006 Pré-publication, Document de travail hal-00113668v1

Rapport (1)

Modiﬁcation of UCT with Patterns in Monte-Carlo Go Sylvain Gelly,Yizao Wang,Rémi Munos,Olivier Teytaud [Research Report] RR-6062, INRIA. 2006 Rapport (rapport de recherche) inria-00117266v3