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Olivier Teytaud

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Programmation des échecs et d’autres jeux

Olivier Teytaud
Interstices, 2023
Journal articles hal-04231368v2
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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking

Laurent Meunier , Herilalaina Rakotoarison , Pak Kan Wong , Baptiste Roziere , Jeremy Rapin
IEEE Transactions on Evolutionary Computation, 2022, 26 (3), ⟨10.1109/TEVC.2021.3108185⟩
Journal articles hal-03154019v1
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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 Barry
Physical Review B, 2021, 103 (12), ⟨10.1103/PhysRevB.103.125135⟩
Journal articles hal-03172152v1
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Polygames: Improved Zero Learning

Tristan Cazenave , Yen-Chi Chen , Guan-Wei Chen , Shi-Yu Chen , Xian-Dong Chiu
International Computer Games Association Journal, 2020, 42 (4), pp.244-256
Journal articles 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⟩
Journal articles hal-01665780v1
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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⟩
Journal articles hal-01223113v1
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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⟩
Journal articles hal-01194564v1
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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⟩
Journal articles hal-01223887v1

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⟩
Journal articles hal-01059822v1
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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⟩
Journal articles hal-01194556v1

Strategic Choices in Optimization

Cheng-Wei Chou , Ping-Chiang Chou , Jean-Joseph Christophe , Adrien Couetoux , Pierre de Freminville
Journal of Information Science and Engineering, 2013, 727-747
Journal articles hal-00863577v1

Genetic fuzzy markup language for game of NoGo

Chang-Shing Lee , Mei-Hui Wang , Yu-Jen Chen , Heni Hagras , Meng-Jhen Wu
Knowledge-Based Systems, 2012, 34, pp.64-80
Journal articles hal-00766773v1
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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
Journal articles hal-00744982v1
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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
Journal articles hal-00710073v1
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The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions

Sylvain Gelly , Marc Schoenauer , Michèle Sebag , Olivier Teytaud , Levente Kocsis
Communications of the ACM, 2012, 55 (3), pp.106-113
Journal articles hal-00695370v3
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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
Journal articles hal-00758158v1

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
Journal articles hal-00766205v1

Human vs. Computer Go Competition in FUZZ-IEEE 2011

Shih-Yuan Chiu , Hassen Doghmen , Chang-Shing Lee , Fabien Teytaud , Olivier Teytaud
International Computer Games Association Journal, 2011, 34 (4), pp.243-247
Journal articles hal-00766202v1
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Lower Bounds for Comparison Based Evolution Strategies using VC-dimension and Sign Patterns

Hervé Fournier , Olivier Teytaud
Algorithmica, 2010
Journal articles inria-00452791v1
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Current Frontiers in Computer Go

Arpad Rimmel , Olivier Teytaud , Chang-Shing Lee , Shi-Jim Yen , Mei-Hui Wang
IEEE Transactions on Computational Intelligence and AI in games, 2010, in press
Journal articles inria-00544622v1
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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⟩
Journal articles inria-00632302v1
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Intelligent Agents for the Game of Go

Jean-Baptiste Hoock , Chang-Shing Lee , Arpad Rimmel , Fabien Teytaud , Olivier Teytaud
IEEE Computational Intelligence Magazine, 2010
Journal articles inria-00544758v2
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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
Journal articles inria-00528770v1
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Continuous lunches are free plus the design of optimal optimization algorithms

Anne Auger , Olivier Teytaud
Journal articles inria-00369788v1
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The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

Chang-Shing Lee , Mei-Hui Wang , Guillaume Chaslot , Jean-Baptiste Hoock , Arpad Rimmel
IEEE Transactions on Computational Intelligence and AI in games, 2009
Journal articles inria-00369786v1
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Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo

Louis Chatriot , Christophe Fiter , Guillaume Chaslot , Sylvain Gelly , Jean-Baptiste Hoock
Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2008
Journal articles inria-00343509v1
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On the hardness of offline multiobjective optimization

Olivier Teytaud
Evolutionary Computation, 2007
Journal articles inria-00173239v1
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comparison-based algorithms are robust and randomized algorithms are anytime.

Sylvain Gelly , Sylvie Ruette , Olivier Teytaud
Evolutionary Computation, 2007
Journal articles inria-00173221v1
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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
Journal articles inria-00112838v1
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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⟩
Journal articles hal-00078115v2
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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
Journal articles inria-00112840v1
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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 Lesaffre
IEEE Transactions on Image Processing, 2005, 14 (5), pp.585-596
Journal articles hal-00185086v1
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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⟩
Conference papers hal-04570089v1
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EvolGAN: Evolutionary Generative Adversarial Networks

Baptiste Rozière , Fabien Teytaud , Vlad Hosu , Hanhe Lin , Jeremy Rapin
15th Asian Conference on Computer Vision (ACCV), Nov 2020, Virtual, Japan
Conference papers hal-03091443v1

Versatile black-box optimization

Jialin Liu , Antoine Moreau , Mike Preuss , Jeremy Rapin , Baptiste Roziere
GECCO '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 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⟩
Conference papers hal-02935395v1
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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
Conference papers hal-01829721v1
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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
Conference papers hal-01701623v1
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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
Conference papers hal-01306636v2
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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
Conference papers hal-01413229v1
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Multivariate bias reduction in capacity expansion planning

Marie-Liesse Cauwet , Olivier Teytaud
19th 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 problems

Fabien Teytaud , Olivier Teytaud
The 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 Optimization

Sandra Astete-Morales , Marie-Liesse Cauwet , Olivier Teytaud
Genetic 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 Commitment

Jean-Joseph Christophe , Jérémie Decock , Jialin Liu , Olivier Teytaud
Artificial Evolution (EA2015), 2015, Lyon, France
Conference papers hal-01194510v1
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Go Complexities

Abdallah Saffidine , Olivier Teytaud , Shi-Jim Yen
Advances in Computer Games, 2015, Leiden, Netherlands. ⟨10.1007/978-3-319-27992-3_8⟩
Conference papers 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 Teytaud
2015 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 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⟩
Conference papers hal-01245531v1
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Combining policies: the best of human expertise and neurocontrol

Vincent Berthier , Adrien Couëtoux , Olivier Teytaud
Artificial 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 rules

Vincent Berthier , Olivier Teytaud
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 9
Conference papers hal-01215806v1

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⟩
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 Slope

Shih-Yuan Chiu , Ching-Nung Lin , Jialin Liu , Tsang-Cheng Su , Fabien Teytaud
2015 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 Bound

Sandra Astete-Morales , Marie-Liesse Cauwet , Olivier Teytaud
Foundations 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 variables

Vincent Berthier , Olivier Teytaud
Artificial Evolution 2015, 2015, Lyon, France. To appear
Conference papers hal-01194519v1
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Evolutionary Cutting Planes

Jérémie Decock , David L. Saint-Pierre , Olivier Teytaud
Artificial Evolution (EA2015), 2015, Lyon, France
Conference papers hal-01194540v1

Item response theory with fuzzy markup language for parameter estimation and validation

Wang Mei-Hui , Chi-Shiang Wang , Chang-Shing Lee , Olivier Teytaud , Jialin Liu
2015 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 7, ⟨10.1109/FUZZ-IEEE.2015.7337884⟩
Conference papers hal-01245695v1
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Depth, balancing, and limits of the Elo model

Marie-Liesse Cauwet , Olivier Teytaud , Hua-Min Liang , Shi-Jim Yen , Hung-Hsuan Lin
IEEE 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 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⟩
Conference papers hal-01077628v1
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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
Conference papers hal-00926638v1
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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
Conference papers hal-00958192v1
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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
Conference papers hal-00973397v1
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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
Conference papers hal-00979442v1
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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
Conference papers hal-01077627v1
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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
Conference papers 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⟩
Conference papers hal-00863584v1
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Noisy Optimization Complexity Under Locality Assumption

Jérémie Decock , Olivier Teytaud
FOGA - Foundations of Genetic Algorithms XII - 2013, Jan 2013, Adelaide, Australia
Conference papers hal-00755663v1
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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
Conference papers hal-00835352v1
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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
Conference papers hal-00907671v1
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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⟩
Conference papers hal-00750577v2
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Strategic Choices: Small Budgets and Simple Regret

Cheng-Wei Chou , Ping-Chiang Chou , Chang-Shing Lee , David L. Saint-Pierre , Olivier Teytaud
TAAI, 2012, Hualien, Taiwan
Conference papers hal-00753145v2
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Improving the exploration in Upper Confidence Trees

Adrien Couetoux , Hassen Doghmen , Olivier Teytaud
Learning 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 MineSweeper

Michèle Sebag , Olivier Teytaud
LION6, Learning and Intelligent Optimization, Proc. LION 6, 2012, Paris, France. pp.222-236
Conference papers hal-00712417v2
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A simple Tsumego Generator

Ping-Chiang Chou , Shi-Jim Yen , Cheng-Wei Chou , Ching-Nung Lin , Chang-Shing Lee
GPW, 2012, Kanagawa, Japan
Conference papers hal-00766190v1
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Learning a Move-Generator for Upper Con dence Trees

Adrien Couetoux , Olivier Teytaud , Hassen Doghmen
International Computer Symposium 2012, Dec 2012, Hualien, Taiwan
Conference papers hal-00759822v1
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Progress Rate in Noisy Genetic Programming for Choosing λ

Jean-Baptiste Hoock , Olivier Teytaud
Artificial Evolution, Oct 2011, Angers, France
Conference papers inria-00622150v1
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Random positions in Go

Benard Helmstetter , Chang-Shing Lee , Fabien Teytaud , Olivier Teytaud , Wang Mei-Hui
Computational Intelligence and Games, Aug 2011, Seoul, North Korea
Conference papers inria-00625815v1
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Online Sparse Bandits

David L. Saint-Pierre , Quentin Louveaux , Olivier Teytaud
The 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.

Ping-Chiang Chou , Hassen Doghmen , Chang-Shing Lee , Fabien Teytaud , Olivier Teytaud
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 stocks

Adrien Couetoux , Olivier Teytaud , Nicolas Bonnard , Nicolas Omont , Olivier Ratier
ROADEF 2011, Mar 2011, France. N°241, p.I-149
Conference papers hal-00623668v1
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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⟩
Conference papers inria-00585475v2

Towards a solution of 7x7 Go with Meta-MCTS

Cheng-Wei Chou , Li-Wen Wu , Hui-Min Wang , Fabien Teytaud , Olivier Teytaud
Advances in Computer Games, 2011, Tilburg, Netherlands. pp.12
Conference papers hal-01077624v1
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Comparison-Based Complexity of Multiobjective Optimization

Olivier Teytaud
GECCO 2011, 2011, Dublin, Ireland. pp.801-806
Conference papers hal-00786635v1
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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
Conference papers hal-00542673v2
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Lemmas on Partial Observation, with Application to Phantom Games

Fabien Teytaud , Olivier Teytaud
Computational Intelligence and Games, Aug 2011, Seoul, North Korea
Conference papers inria-00625794v1
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Handling Expensive Optimization with Large Noise

Rémi Coulom , Philippe Rolet , Nataliya Sokolovska , Olivier Teytaud
Foundations of Genetic Algorithms, Jan 2011, Austria. pp.TBA
Conference papers hal-00517157v2
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Continuous Rapid Action Value Estimates

Adrien Couetoux , Mario Milone , Matyas Brendel , Hassen Doghmen , Michèle Sebag
The 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 Mines

Adrien Couetoux , Mario Milone , Olivier Teytaud
Technologies 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: 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⟩
Conference papers inria-00593154v1
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A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize

Marc Schoenauer , Fabien Teytaud , Olivier Teytaud
Artificial Evolution, Oct 2011, Angers, France
Conference papers inria-00625855v1
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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
Conference papers hal-00745206v1
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Q-Learning with Double Progressive Widening : Application to Robotics

Nataliya Sokolovska , Olivier Teytaud , Mario Milone
ICONIP 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 Algorithms

Fabien Teytaud , Olivier Teytaud
IEEE Conference on Computational Intelligence and Games, Aug 2010, Copenhagen, Denmark
Conference papers inria-00495078v1
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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
Conference papers inria-00484043v1
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Adaptive Noisy Optimization

Philippe Rolet , Olivier Teytaud
EvoStar 2010, Apr 2010, Istambul, Turkey
Conference papers inria-00459017v1
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Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis

Philippe Rolet , Olivier Teytaud
Lion4, 2010, Venice, Italy
Conference papers inria-00437140v1
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Bandit-Based Genetic Programming

Jean-Baptiste Hoock , Olivier Teytaud
13th European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey
Conference papers inria-00452887v2
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Scalability and Parallelization of Monte-Carlo Tree Search

Amine Bourki , Guillaume Chaslot , Matthieu Coulm , Vincent Danjean , Hassen Doghmen
The 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 Testing

Amine Bourki , Matthieu Coulm , Philippe Rolet , Olivier Teytaud , Paul Vayssière
ICINCO2010, 2010, funchal madeira, Portugal. pp.10
Conference papers inria-00467796v1
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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
Conference papers inria-00485555v1
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Log(lambda) Modifications for Optimal Parallelism

Fabien Teytaud , Olivier Teytaud
Parallel 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 décisifs

Fabien Teytaud , Olivier Teytaud
RFIA, Jan 2010, Caen, France
Conference papers inria-00454541v1
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Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search

Vincent Berthier , Hassen Doghmen , Olivier Teytaud
Lion4, 2010, venice, Italy. 14 p
Conference papers inria-00437146v1
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Complexity Bounds for Batch Active Learning in Classification

Philippe Rolet , Olivier Teytaud
ECML 2010, Oct 2010, Barcelone, Spain
Conference papers inria-00533318v1
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Creating an Upper-Confidence-Tree program for Havannah

Fabien Teytaud , Olivier Teytaud
ACG 12, May 2009, Pamplona, Spain
Conference papers inria-00380539v1
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Upper Confidence Trees and Billiards for Optimal Active Learning

Philippe Rolet , Michèle Sebag , Olivier Teytaud
CAP09, 2009, Hammamet, Tunisia
Conference papers inria-00369787v1
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A Novel Ontology for Computer Go Knowledge Management

Chang-Shing Lee , Wang Mei-Hui , Tzung-Pei Hong , Guillaume Chaslot , Jean-Baptiste Hoock
IEEE 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 Strategies

Fabien Teytaud , Olivier Teytaud
EvoNum (evostar workshop), 2009, Tuebingen, Germany
Conference papers inria-00369781v1
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A Statistical Learning Perspective of Genetic Programming

Merve Amil , Nicolas Bredeche , Christian Gagné , Sylvain Gelly , Marc Schoenauer
EuroGP, 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 neurocontrollers

Guillaume Chaslot , Jean-Baptiste Hoock , Fabien Teytaud , Olivier Teytaud
ESANN, Apr 2009, Bruges, Belgium
Conference papers inria-00380125v1
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Bias and variance in continuous EDA

Fabien Teytaud , Olivier Teytaud
EA 09, Oct 2009, Strasbourg, France
Conference papers inria-00451416v1
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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
Conference papers inria-00433866v1
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Optimal robust expensive optimization is tractable

Philippe Rolet , Michèle Sebag , Olivier Teytaud
Gecco 2009, ACM, 2009, Montréal, Canada. 8 p
Conference papers inria-00374910v1
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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
Conference papers inria-00386475v1
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Why one must use reweighting in Estimation Of Distribution Algorithms

Fabien Teytaud , Olivier Teytaud
GECCO, 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 Go

Pierre Audouard , Guillaume Chaslot , Jean-Baptiste Hoock , Arpad Rimmel , J. Perez
EvoGames, 2009, Tuebingen, Germany
Conference papers inria-00369783v1
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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
Conference papers inria-00386477v1
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On the Parallelization of Monte-Carlo planning

Sylvain Gelly , Jean-Baptiste Hoock , Arpad Rimmel , Olivier Teytaud , Yann Kalemkarian
ICINCO, May 2008, Madeira, Portugal
Conference papers inria-00287867v1

On the almost optimality of blind active sampling.

Olivier Teytaud
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-Go

Louis Chatriot , Sylvain Gelly , Jean-Baptiste Hoock , Julien Pérez , Arpad Rimmel
JFPDA, Jun 2008, Metz, France
Conference papers inria-00287883v1
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Lower bounds for evolution strategies using VC-dimension

Olivier Teytaud , Hervé Fournier
Parallel Problem Solving from Nature, Sep 2008, Dortmund, Germany. 10 p
Conference papers inria-00287845v1
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When does quasi-random work ?

Olivier Teytaud
Parallel Problem Solving from Nature, Sep 2008, Dortmund, Germany
Conference papers inria-00287863v1
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Anytime many-armed bandits

Olivier Teytaud , Sylvain Gelly , Michèle Sebag
CAP07, 2007, Grenoble, France
Conference papers inria-00173263v1
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On the adaptation of the noise level for stochastic optimization

Olivier Teytaud , Anne Auger
IEEE Congress on Evolutionary Computation, 2007, Singapour, Singapore
Conference papers inria-00173224v1
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Non linear programming for stochastic dynamic programming

Olivier Teytaud , Sylvain Gelly
Icinco 2007, 2007, Angers, France
Conference papers inria-00173202v1
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Slightly beyond Turing-Computability for studying Genetic Programming

Olivier Teytaud
MCU'07, 2007, Orléans, France
Conference papers inria-00173241v1
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Conditionning, halting criteria and choosing lambda

Olivier Teytaud
EA07, 2007, Tours, France
Conference papers inria-00173237v1
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Active learning in regression, with an application to stochastic dynamic programming

Olivier Teytaud , Sylvain Gelly , Jérémie Mary
ICINCO 2007, 2007, Angers, France
Conference papers inria-00173204v1
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Inductive-deductive systems: a mathematical logic and statistical learning perspective

Nicolas Baskiotis , Michèle Sebag , Olivier Teytaud
CAP, 2007, Grenoble, France. 16 p
Conference papers inria-00173259v2
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Continuous lunches are free!

Anne Auger , Olivier Teytaud
GECCO, 2007, London, United Kingdom
Conference papers inria-00173209v1
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DCMA, yet another derandomization in covariance-matrix-adaptation

Olivier Teytaud , Sylvain Gelly
GECCO, 2007, London, United Kingdom
Conference papers inria-00173207v1
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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
Conference papers inria-00164033v1
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Learning for stochastic dynamic programming

Sylvain Gelly , Jérémie Mary , Olivier Teytaud
11th European Symposium on Artificial Neural Networks (ESANN), Apr 2006, bruges Belgium
Conference papers inria-00112796v1
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General lower bounds for evolutionary algorithms

Olivier Teytaud , Sylvain Gelly
Parallel Problem Solving from Nature, Sep 2006, Reykjavik
Conference papers inria-00112820v1
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Statistical inference and data mining: false discoveries control

Stéphane Lallich , Olivier Teytaud , Elie Prudhomme
2006, 12 p
Conference papers hal-00113593v1
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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, France
Conference papers hal-00113368v1
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Resource-Aware Parameterizations of EDA

Sylvain Gelly , Olivier Teytaud , Christian Cagne
Congress 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 problems

Sylvain Gelly , Olivier Teytaud
NIPS 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 isotropy

Sylvain Gelly , Jérémie Mary , Olivier Teytaud
Parallel 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 hard

Olivier Teytaud
Bridging 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 Functions

Olivier Teytaud
2006, 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 billiards

Sylvain Gelly , Sylvie Ruette , Olivier Teytaud
Parallel 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 algorithm

Anne Auger , Marc Schoenauer , Olivier Teytaud
GECCO - 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 ?

Sylvain Gelly , Olivier Teytaud , Nicolas Bredeche , Marc Schoenauer
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.

Sylvain Gelly , Jérémie Mary , Olivier Teytaud
PDMIA, 2005, Lille, 16 p
Conference papers inria-00000217v1
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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. USA
Conference papers inria-00000549v1
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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
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 parameters

Sylvain Gelly , Olivier Teytaud
CAP, 2005, Nice, 16 p
Conference papers inria-00000541v1
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Algorithms (X,sigma,eta) : quasi-random mutations for Evolution Strategies

Olivier Teytaud , Mohamed Jebalia , Anne Auger
Evolution Artificielle, 2005, Lille, France. 12 p
Conference papers inria-00000544v2

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
Conference papers 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
Conference papers inria-00100500v2
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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⟩
Conference poster hal-01217128v2
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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
Conference poster hal-01406444v1
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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
Documents associated with scientific events hal-00997562v1
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Noisy Optimization

Sandra Astete-Morales , Marie-Liesse Cauwet , Adrien Couetoux , Jérémie Decock , Jialin Liu
Dagstuhl seminar 13271, 2013, Dagstuhl, Germany. 2013
Documents associated with scientific events hal-00844305v1

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⟩
Book sections hal-03135540v1
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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⟩
Book sections 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
Book sections hal-00758147v1
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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
Book sections inria-00593179v2
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Association rule interestingness: measure and statistical validation

Stéphane Lallich , Olivier Teytaud , Elie Prudhomme
Guillet, 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 neurones

Yann Guermeur , Olivier Teytaud
Younes Bennani. Apprentissage Connexioniste, Hermès, pp.283, 2006, collection I2C
Book sections hal-00105953v1
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Evolutionary Retrofitting

Mathurin Videau , Mariia Zameshina , Alessandro Leite , Laurent Najman , Marc Schoenauer
2024
Preprints, Working Papers, ... hal-04733511v1
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Agnostic latent diversity enhancement in generative modeling

Mariia Zameshina , Mathurin Videau , Alessandro Leite , Marc Schoenauer , Laurent Najman
2024
Preprints, Working Papers, ... hal-04661473v2
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Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation

Mariia Zameshina , Olivier Teytaud , Laurent Najman
2023
Preprints, Working Papers, ... hal-04242350v1
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PrivacyGAN: robust generative image privacy

Mariia Zameshina , Marlene Careil , Olivier Teytaud , Laurent Najman
2023
Preprints, Working Papers, ... hal-04248792v1

Adversarial Attacks on Linear Contextual Bandits

Evrard Garcelon , Baptiste Roziere , Laurent Meunier , Jean Tarbouriech , Olivier Teytaud
2020
Preprints, Working Papers, ... hal-02979184v1
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The photonics and ARCoating testbeds in Nevergrad

Pauline Bennet , Emmanuel Centeno , Jérémy Rapin , Olivier Teytaud , Antoine Moreau
2020
Preprints, Working Papers, ... hal-02613161v1
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Evolutionary algorithms converge towards evolved biological photonic structures

Mamadou Aliou Barry , Vincent Berthier , Marie-Claire Cambourieux , Rémi Pollès , Bodo D. Wilts
2018
Preprints, Working Papers, ... hal-01856961v1

Toward Optimal Run Racing: Application to Deep Learning Calibration

Olivier Bousquet , Sylvain Gelly , Karol Kurach , Marc Schoenauer , Michèle Sebag
2017
Preprints, Working Papers, ... hal-01634381v1
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Boosting a Bridge Artificial Intelligence

Veronique Ventos , Yves Costel , Olivier Teytaud , Solène Thépaut Ventos
2017
Preprints, Working Papers, ... hal-01665867v1
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Multi-armed Bandit, Dynamic Environments and Meta-Bandits

Cédric Hartland , Sylvain Gelly , Nicolas Baskiotis , Olivier Teytaud , Michèle Sebag
2006
Preprints, Working Papers, ... hal-00113668v1