Olivier Teytaud
171
Documents
Publications
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Interactive Latent Diffusion ModelGECCO 2023 - Genetic and Evolutionary Computation Conference, ACM SIGEVO, Jul 2023, Lisbon, Portugal. pp.586-596, ⟨10.1145/3583131.3590471⟩
Conference papers
hal-04570089v1
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EvolGAN: Evolutionary Generative Adversarial Networks15th Asian Conference on Computer Vision (ACCV), Nov 2020, Virtual, Japan
Conference papers
hal-03091443v1
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Versatile black-box optimizationGECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.620-628, ⟨10.1145/3377930.3389838⟩
Conference papers
hal-03049284v1
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Variance Reduction for Better Sampling in Continuous DomainsParallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.154-168, ⟨10.1007/978-3-030-58112-1_11⟩
Conference papers
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Surprising strategies obtained by stochastic optimization in partially observable gamesCEC 2018 - IEEE Congress on Evolutionary Computation, Jul 2018, Rio de Janeiro, Brazil. pp.1-8
Conference papers
hal-01829721v1
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Direct Model Predictive Control: A Theoretical and Numerical AnalysisPSCC 2018 - XX Power Systems Computation Conference, Jun 2018, Dublin, Ireland
Conference papers
hal-01701623v1
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Noisy Optimization: Fast Convergence Rates with Comparison-Based AlgorithmsGenetic and Evolutionary Computation Conference, Jul 2016, Denver, United States. pp.1101-1106
Conference papers
hal-01306636v2
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Learning opening books in partially observable games: using random seeds in Phantom GoCIG 2016 - Computer intelligence and Games, Sep 2016, Santorini, Greece. pp.55-61
Conference papers
hal-01413229v1
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Multivariate bias reduction in capacity expansion planning19th Power Systems Computation Conference, Jun 2016, Gênes, Italy
Conference papers
hal-01306643v1
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QR mutations improve many evolution strategies -a lot on highly multimodal problemsThe Genetic and Evolutionary Computation Conference (GECCO 2016), Jul 2016, Denver, United States. pp.35-36, ⟨10.1145/1235⟩
Conference papers
hal-01406727v1
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Analysis of Different Types of Regret in Continuous Noisy OptimizationGenetic and Evolutionary Computation Conference 2016, Jul 2016, Denver, United States. pp.205-212
Conference papers
hal-01347814v2
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Variance Reduction in Population-Based Optimization: Application to Unit CommitmentArtificial Evolution (EA2015), 2015, Lyon, France
Conference papers
hal-01194510v1
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Go ComplexitiesAdvances in Computer Games, 2015, Leiden, Netherlands. ⟨10.1007/978-3-319-27992-3_8⟩
Conference papers
hal-01256660v1
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Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.338 - 345, ⟨10.1109/CEC.2015.7256911⟩
Conference papers
hal-01245526v1
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The Rectangular Seeds of Domineering, Atari-Go and Breakthrough2015 IEEE Conference on Computational Intelligence and Games (CIG), Aug 2015, Tainan, Taiwan. pp.530 - 531, ⟨10.1109/CIG.2015.7317904⟩
Conference papers
hal-01245531v1
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Combining policies: the best of human expertise and neurocontrolArtificial Evolution 2015, 2015, Lyon, France. To appear
Conference papers
hal-01194516v1
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Sieves method in fuzzy control: logarithmically increase the number of rulesIEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 9
Conference papers
hal-01215806v1
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Nash Reweighting of Monte Carlo Simulations: Tsumego2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.1458 - 1465, ⟨10.1109/CEC.2015.7257060⟩
Conference papers
hal-01245520v1
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Differential Evolution for Strongly Noisy Optimization: Use 1.01$^n$ Resamplings at Iteration n and Reach the -1/2 Slope2015 IEEE Congress on Evolutionary Computation (IEEE CEC), May 2015, Sendai, Japan
Conference papers
hal-01120892v1
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Evolution Strategies with Additive Noise: A Convergence Rate Lower BoundFoundations of Genetic Algorithms, 2015, Aberythswyth, United Kingdom. pp.76--84
Conference papers
hal-01077625v2
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On the codimension of the set of optima: large scale optimisation with few relevant variablesArtificial Evolution 2015, 2015, Lyon, France. To appear
Conference papers
hal-01194519v1
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Evolutionary Cutting PlanesArtificial Evolution (EA2015), 2015, Lyon, France
Conference papers
hal-01194540v1
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Item response theory with fuzzy markup language for parameter estimation and validation2015 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 7, ⟨10.1109/FUZZ-IEEE.2015.7337884⟩
Conference papers
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Depth, balancing, and limits of the Elo modelIEEE Conference on Computational Intelligence and Games 2015, Aug 2015, Tainan, Taiwan
Conference papers
hal-01223116v1
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Nash and the Bandit Approach for Adversarial PortfoliosCIG 2014 - Computational Intelligence in Games, IEEE, Aug 2014, Dortmund, Germany. pp.7, ⟨10.1109/CIG.2014.6932897⟩
Conference papers
hal-01077628v1
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Algorithm Portfolios for Noisy Optimization: Compare Solvers EarlyLearning and Intelligent Optimization Conference, Feb 2014, Florida, United States
Conference papers
hal-00926638v1
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Direct model predictive controlEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2014, Bruges, Belgium
Conference papers
hal-00958192v1
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Meta online learning: experiments on a unit commitment problemEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium
Conference papers
hal-00973397v1
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A mathematically derived number of resamplings for noisy optimizationCompanion - Genetic and Evolutionary Computation Conference (GECCO 2014), Jul 2014, Vancouver, Canada. pp.61-62
Conference papers
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Sparse Binary Zero-Sum GamesAsian Conference on Machine Learning, 2014, Ho-Chi-Minh-Ville, Vietnam. pp.16
Conference papers
hal-01077627v1
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Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed BanditsAsian Conference on Machine Learning 2013, Nov 2013, Canberra, Australia. pp.245-260
Conference papers
hal-00924062v2
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Noisy optimization convergence ratesProceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Jul 2013, Amsterdam, Netherlands. pp.223--224, ⟨10.1145/2464576.2464687⟩
Conference papers
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Noisy Optimization Complexity Under Locality AssumptionFOGA - Foundations of Genetic Algorithms XII - 2013, Jan 2013, Adelaide, Australia
Conference papers
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Continuous Upper Confidence Trees with Polynomial Exploration - ConsistencyECML/PKKD 2013, Sep 2013, Prague, Czech Republic. pp.194-209
Conference papers
hal-00835352v1
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Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond Quasi-Convex FunctionsEA - 11th Biennal International Conference on Artificial Evolution - 2013, Oct 2013, Bordeaux, France
Conference papers
hal-00907671v1
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Optimistic Heuristics for MineSweeperICS - International Computer Symposium - 2012, Dec 2012, Hualien, Taiwan. pp.199-207, ⟨10.1007/978-3-642-35452-6_22⟩
Conference papers
hal-00750577v2
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Strategic Choices: Small Budgets and Simple RegretTAAI, 2012, Hualien, Taiwan
Conference papers
hal-00753145v2
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Improving the exploration in Upper Confidence TreesLearning and Intelligent OptimizatioN Conference LION 6, Jan 2012, Paris, France
Conference papers
hal-00745208v1
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Combining Myopic Optimization and Tree Search: Application to MineSweeperLION6, Learning and Intelligent Optimization, Proc. LION 6, 2012, Paris, France. pp.222-236
Conference papers
hal-00712417v2
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A simple Tsumego GeneratorGPW, 2012, Kanagawa, Japan
Conference papers
hal-00766190v1
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Learning a Move-Generator for Upper Con dence TreesInternational Computer Symposium 2012, Dec 2012, Hualien, Taiwan
Conference papers
hal-00759822v1
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Progress Rate in Noisy Genetic Programming for Choosing λArtificial Evolution, Oct 2011, Angers, France
Conference papers
inria-00622150v1
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Random positions in GoComputational Intelligence and Games, Aug 2011, Seoul, North Korea
Conference papers
inria-00625815v1
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Online Sparse BanditsThe 3rd Asian Conference on Machine Learning (ACML2011), Nov 2011, Taoyuan, Taiwan
Conference papers
hal-00642461v1
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Computational and Human Intelligence in Blind Go.Computational Intelligence and Games, Aug 2011, Seoul, North Korea
Conference papers
inria-00625849v1
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Monte Carlo Tree Search appliqué à la gestion de stocksROADEF 2011, Mar 2011, France. N°241, p.I-149
Conference papers
hal-00623668v1
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Upper Confidence Trees with Short Term Partial InformationEvoGames 2011, Apr 2011, Turino, Italy. pp.153-162, ⟨10.1007/978-3-642-20525-5⟩
Conference papers
inria-00585475v2
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Towards a solution of 7x7 Go with Meta-MCTSAdvances in Computer Games, 2011, Tilburg, Netherlands. pp.12
Conference papers
hal-01077624v1
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Comparison-Based Complexity of Multiobjective OptimizationGECCO 2011, 2011, Dublin, Ireland. pp.801-806
Conference papers
hal-00786635v1
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Continuous Upper Confidence TreesLION'11: Proceedings of the 5th International Conference on Learning and Intelligent OptimizatioN, Jan 2011, Italy. pp.TBA
Conference papers
hal-00542673v2
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Lemmas on Partial Observation, with Application to Phantom GamesComputational Intelligence and Games, Aug 2011, Seoul, North Korea
Conference papers
inria-00625794v1
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Handling Expensive Optimization with Large NoiseFoundations of Genetic Algorithms, Jan 2011, Austria. pp.TBA
Conference papers
hal-00517157v2
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Continuous Rapid Action Value EstimatesThe 3rd Asian Conference on Machine Learning (ACML2011), Nov 2011, Taoyuan, Taiwan. pp.19-31
Conference papers
hal-00642459v1
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Consistent Belief State Estimation, with Application to MinesTechnologies and Applications of Artificial Intelligence, International Conference on, 2011, Hsinchu, Taiwan. pp.280-285
Conference papers
hal-00712388v1
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Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGoEvoGames 2011, Apr 2011, Turino, Italy. pp.73-82, ⟨10.1007/978-3-642-20525-5⟩
Conference papers
inria-00593154v1
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A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing StepsizeArtificial Evolution, Oct 2011, Angers, France
Conference papers
inria-00625855v1
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Continuous Upper Con dence TreesLearning and Intelligent Optimization: 5th International Conference, LION 5, Jan 2011, Rome, Italy
Conference papers
hal-00745206v1
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Q-Learning with Double Progressive Widening : Application to RoboticsICONIP 2011, Nov 2011, China. pp.103-112
Conference papers
hal-00624832v1
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On the Huge Benefit of Decisive Moves in Monte-Carlo Tree Search AlgorithmsIEEE Conference on Computational Intelligence and Games, Aug 2010, Copenhagen, Denmark
Conference papers
inria-00495078v1
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A Principled Method for Exploiting Opening BooksInternational Conference on Computers and Games, Sep 2010, Kanazawa, Japan
Conference papers
inria-00484043v1
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Adaptive Noisy OptimizationEvoStar 2010, Apr 2010, Istambul, Turkey
Conference papers
inria-00459017v1
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Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime AnalysisLion4, 2010, Venice, Italy
Conference papers
inria-00437140v1
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Bandit-Based Genetic Programming13th European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey
Conference papers
inria-00452887v2
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Scalability and Parallelization of Monte-Carlo Tree SearchThe International Conference on Computers and Games 2010, Sep 2010, Kanazawa, Japan
Conference papers
inria-00512854v1
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Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis TestingICINCO2010, 2010, funchal madeira, Portugal. pp.10
Conference papers
inria-00467796v1
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Biasing Monte-Carlo Simulations through RAVE ValuesThe International Conference on Computers and Games 2010, Sep 2010, Kanazawa, Japan
Conference papers
inria-00485555v1
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Log(lambda) Modifications for Optimal ParallelismParallel Problem Solving From Nature, Sep 2010, Krakow, Poland
Conference papers
inria-00495087v1
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Du jeu de Go au Havannah : variantes d'UCT et coups décisifsRFIA, Jan 2010, Caen, France
Conference papers
inria-00454541v1
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Consistency Modifications for Automatically Tuned Monte-Carlo Tree SearchLion4, 2010, venice, Italy. 14 p
Conference papers
inria-00437146v1
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Complexity Bounds for Batch Active Learning in ClassificationECML 2010, Oct 2010, Barcelone, Spain
Conference papers
inria-00533318v1
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Creating an Upper-Confidence-Tree program for HavannahACG 12, May 2009, Pamplona, Spain
Conference papers
inria-00380539v1
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Upper Confidence Trees and Billiards for Optimal Active LearningCAP09, 2009, Hammamet, Tunisia
Conference papers
inria-00369787v1
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A Novel Ontology for Computer Go Knowledge ManagementIEEE FUZZ, 2009, Jeju, South Korea
Conference papers
inria-00386476v1
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On the parallel speed-up of Estimation of Multivariate Normal Algorithm and Evolution StrategiesEvoNum (evostar workshop), 2009, Tuebingen, Germany
Conference papers
inria-00369781v1
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A Statistical Learning Perspective of Genetic ProgrammingEuroGP, 2009, Tuebingen, Germany. pp.327-338
Conference papers
inria-00369782v1
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On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollersESANN, Apr 2009, Bruges, Belgium
Conference papers
inria-00380125v1
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Bias and variance in continuous EDAEA 09, Oct 2009, Strasbourg, France
Conference papers
inria-00451416v1
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Boosting Active Learning to Optimality: a Tractable Monte-Carlo, Billiard-based AlgorithmECML, 2009, Bled, Slovenia. pp.302-317
Conference papers
inria-00433866v1
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Optimal robust expensive optimization is tractableGecco 2009, ACM, 2009, Montréal, Canada. 8 p
Conference papers
inria-00374910v1
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Optimizing Low-Discrepancy Sequences with an Evolutionary AlgorithmGenetic and Evolutionary Computation Conference, 2009, Montréal, Canada. 8 p
Conference papers
inria-00386475v1
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Why one must use reweighting in Estimation Of Distribution AlgorithmsGECCO, 2009, Montréal, Canada
Conference papers
inria-00369780v1
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Grid coevolution for adaptive simulations; application to the building of opening books in the game of GoEvoGames, 2009, Tuebingen, Germany
Conference papers
inria-00369783v1
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Adding expert knowledge and exploration in Monte-Carlo Tree SearchAdvances in Computer Games, 2009, Pamplona, Spain
Conference papers
inria-00386477v1
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On the Parallelization of Monte-Carlo planningICINCO, May 2008, Madeira, Portugal
Conference papers
inria-00287867v1
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On the almost optimality of blind active sampling.CAP 2008, May 2008, Porquerolles, France
Conference papers
inria-00287874v1
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Introduction de connaissances expertes en Bandit-Based Monte-Carlo Planning avec application au Computer-GoJFPDA, Jun 2008, Metz, France
Conference papers
inria-00287883v1
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Lower bounds for evolution strategies using VC-dimensionParallel Problem Solving from Nature, Sep 2008, Dortmund, Germany. 10 p
Conference papers
inria-00287845v1
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When does quasi-random work ?Parallel Problem Solving from Nature, Sep 2008, Dortmund, Germany
Conference papers
inria-00287863v1
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Anytime many-armed banditsCAP07, 2007, Grenoble, France
Conference papers
inria-00173263v1
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On the adaptation of the noise level for stochastic optimizationIEEE Congress on Evolutionary Computation, 2007, Singapour, Singapore
Conference papers
inria-00173224v1
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Non linear programming for stochastic dynamic programmingIcinco 2007, 2007, Angers, France
Conference papers
inria-00173202v1
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Slightly beyond Turing-Computability for studying Genetic ProgrammingMCU'07, 2007, Orléans, France
Conference papers
inria-00173241v1
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Conditionning, halting criteria and choosing lambdaEA07, 2007, Tours, France
Conference papers
inria-00173237v1
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Active learning in regression, with an application to stochastic dynamic programmingICINCO 2007, 2007, Angers, France
Conference papers
inria-00173204v1
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Inductive-deductive systems: a mathematical logic and statistical learning perspectiveCAP, 2007, Grenoble, France. 16 p
Conference papers
inria-00173259v2
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Continuous lunches are free!GECCO, 2007, London, United Kingdom
Conference papers
inria-00173209v1
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DCMA, yet another derandomization in covariance-matrix-adaptationGECCO, 2007, London, United Kingdom
Conference papers
inria-00173207v1
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Change Point Detection and Meta-Bandits for Online Learning in Dynamic EnvironmentsCAp 2007 : 9è Conférence francophone sur l'apprentissage automatique, Jul 2007, Grenoble, France. pp.237-250
Conference papers
inria-00164033v1
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Learning for stochastic dynamic programming11th European Symposium on Artificial Neural Networks (ESANN), Apr 2006, bruges Belgium
Conference papers
inria-00112796v1
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General lower bounds for evolutionary algorithmsParallel Problem Solving from Nature, Sep 2006, Reykjavik
Conference papers
inria-00112820v1
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Statistical inference and data mining: false discoveries control2006, 12 p
Conference papers
hal-00113593v1
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Quasi-Random resamplings, with applications to rule-samplng, cross-validation and (su-)baggingInternational Workshop on Intelligent Information Acces --- IIIA 2006, 2006, France
Conference papers
hal-00113368v1
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Resource-Aware Parameterizations of EDACongress on Evolutionary Computation, Jul 2006, Vancouver, BC, Canada
Conference papers
inria-00112803v1
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OpenDP a free Reinforcement Learning toolbox for discrete time control problemsNIPS Workshop on Machine Learning Open Source Software, Dec 2006, Whistler (B.C.)
Conference papers
inria-00117392v1
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On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropyParallel Problem Solving from Nature, Sep 2006, Reykjavik
Conference papers
inria-00112816v1
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How entropy-theorems can show that approximating high-dim Pareto-fronts is too hardBridging the Gap between Theory and Practice - Workshop PPSN-BTP, 2006, Reykjavik, Iceland
Conference papers
hal-00113362v1
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Why Simulation-Based Approachs with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions2006, 12 p
Conference papers
hal-00113370v1
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Comparison-based algorithms: worst-case optimality, optimality w.r.t a bayesian prior, the intraclass-variance minimization in EDA, and implementations with billiardsParallel Problem Solving from Nature BTP-Workshop, Sep 2006, Reykjavik
Conference papers
inria-00112813v1
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Local and global oder 3/2 convergence of a surrogate evolutionary algorithmGECCO - genetic and evolutionary computation conference, 2005, Washington, pp.857-864
Conference papers
inria-00000540v1
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Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable ?Conférence d'apprentissage, 2005, Nice, France. 16 p
Conference papers
inria-00000546v2
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Taylor-based pseudo-metrics for random process fitting in dynamic programming.PDMIA, 2005, Lille, 16 p
Conference papers
inria-00000217v1
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A Statistical Learning Theory Approach of BloatGenetic and Evolutionary Computation Conference, Jun 2005, Washington D.C. USA
Conference papers
inria-00000549v1
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Convergence proofs, convergence rates and stopping criterions for multi-modal or multi-objective evolutionary algorithmsEvolution artificielle, 2005, Lille, France. 12 p
Conference papers
inria-00000545v1
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Bayesian networks : a better than frequentist approach for parametrization, and a more accurate structural complexity measure than the number of parametersCAP, 2005, Nice, 16 p
Conference papers
inria-00000541v1
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Algorithms (X,sigma,eta) : quasi-random mutations for Evolution StrategiesEvolution Artificielle, 2005, Lille, France. 12 p
Conference papers
inria-00000544v2
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Multigrid Convergence and Surface Area EstimationTheoretical Foundations of Computer Vision "Geometry, Morphology, and Computational Imaging", 2003, Dagsthul, Germany. pp.101--119
Conference papers
hal-00185210v1
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Segmentation and Length Estimation of 3D Discrete CurvesDigital and Image Geometry: Advanced Lectures, 2001, Dagsthul, Germany. pp.295--313
Conference papers
inria-00100500v2
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Criteria and Convergence Rates in Noisy Optimization Genetic and Evolutionary Computation Conference (GECCO 2015), Jul 2015, Madrid, Spain. 2015, ⟨10.1145/2739482.2764722⟩
Conference poster
hal-01217128v2
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Simple Tools for Multimodal OptimizationGECCO - 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
Conference poster
hal-01406444v1
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Optimization of Energy Policies Using Direct Value Search9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgium. 2014
Documents associated with scientific events
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Noisy OptimizationDagstuhl seminar 13271, 2013, Dagstuhl, Germany. 2013
Documents associated with scientific events
hal-00844305v1
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Mathématiques pour l'agrégationDunod, pp.736, 2007
Books
inria-00173250v1
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On Averaging the Best Samples in Evolutionary ComputationParallel Problem Solving from Nature – PPSN XVI. PPSN 2020, pp.661-674, 2020, ⟨10.1007/978-3-030-58115-2_46⟩
Book sections
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Artificial Intelligence for GamesA Guided Tour of Artificial Intelligence Research : Volume II: AI Algorithms, Springer, pp.313-337, 2020, ⟨10.1007/978-3-030-06167-8_11⟩
Book sections
hal-03118174v1
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Fuzzy Ontologies for the Game of GoR. Seising, E. Trillas, C. Moraga, S. Termini. On Fuzziness. A Homage to Lotfi A. Zadeh, Springer, pp.367-372, 2012
Book sections
hal-00758147v1
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Lower Bounds for Evolution StrategiesAnne Auger, Benjamin Doerr. Theory of Randomized Search Heuristics, 1, World Scientific, pp.327-354, 2011, Series on Theoretical Computer Science
Book sections
inria-00593179v2
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Association rule interestingness: measure and statistical validationGuillet, Hamilton. Quality measures in data mining, Springer, pp.25, 2006
Book sections
hal-00113594v1
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Estimation et contrôle des performances en généralisation des réseaux de neuronesYounes Bennani. Apprentissage Connexioniste, Hermès, pp.283, 2006, collection I2C
Book sections
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Modification of UCT with Patterns in Monte-Carlo Go[Research Report] RR-6062, INRIA. 2006
Reports
inria-00117266v3
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