Olivier Teytaud

212 papers A* 3A 23B 19C 7Journal 78Unranked 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolutionary Retrofitting. ACM Trans. Evol. Learn. Optim. Mathurin Videau, Mariia Zameshina, Alessandro Ferreira Leite, Laurent Najman, Marc Schoenauer, Olivier Teytaud
2025	J	`jnl`	From Bytes to Ideas: Language Modeling with Autoregressive U-Nets. CoRR Mathurin Videau, Badr Youbi Idrissi, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud, David Lopez-Paz
2025	J	`jnl`	Lognormal Mutations and their Use in Detecting Surreptitious Fake Images. Trans. Mach. Learn. Res. Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad
2025	J	`jnl`	Mixture of Experts for Image Classification: What's the Sweet Spot? Trans. Mach. Learn. Res. Mathurin Videau, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud
2025	J	`jnl`	Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym. IEEE Trans. Evol. Comput. Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2025	J	`jnl`	Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training. CoRR Ismail Labiad, Mathurin Videau, Matthieu Kowalski, Marc Schoenauer, Alessandro Ferreira Leite, Julia Kempe, Olivier Teytaud
2024	J	`jnl`	Evolutionary Pre-Prompt Optimization for Mathematical Reasoning. CoRR Mathurin Videau, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud
2024	J	`jnl`	Evolutionary Retrofitting. CoRR Mathurin Videau, Mariia Zameshina, Alessandro Ferreira Leite, Laurent Najman, Marc Schoenauer, Olivier Teytaud
2024	J	`jnl`	Log-normal Mutations and their Use in Detecting Surreptitious Fake Images. CoRR Ismail Labiad, Thomas Bäck, Pierre Fernandez, Laurent Najman, Tom Sander, Furong Ye, Mariia Zameshina, Olivier Teytaud
2024	J	`jnl`	Mixture of Experts in Image Classification: What's the Sweet Spot? CoRR Mathurin Videau, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud
2023	J	`jnl`	Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation. CoRR Mariia Zameshina, Olivier Teytaud, Laurent Najman
2023	A	`conf`	Interactive Latent Diffusion Model. GECCO Mathurin Videau, Nickolai Knizev, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud
2023	J	`jnl`	Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. CoRR Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2023	J	`jnl`	PrivacyGAN: robust generative image privacy. CoRR Mariia Zameshina, Marlène Careil, Olivier Teytaud, Laurent Najman
2023	J	`jnl`	Towards a General Transfer Approach for Policy-Value Networks. Trans. Mach. Learn. Res. Dennis J. N. J. Soemers, Vegard Mella, Éric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud
2022	J	`jnl`	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2022	A	`conf`	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
2022	J	`jnl`	Fairness in generative modeling. CoRR Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman, Markus Wagner
2022	—	`conf`	Fairness in generative modeling: do it unsupervised! GECCO Companion Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner
2022	—	`conf`	Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. PPSN (1) Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
2022	J	`jnl`	Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration. CoRR Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
2022	B	`conf`	Multi-objective Genetic Programming for Explainable Reinforcement Learning. EuroGP Mathurin Videau, Alessandro Ferreira Leite, Olivier Teytaud, Marc Schoenauer
2021	A	`conf`	Asymptotic convergence rates for averaging strategies. FOGA Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021	J	`jnl`	Asymptotic convergence rates for averaging strategies. CoRR Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021	J	`jnl`	CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
2021	J	`jnl`	Deep Learning for General Game Playing with Ludii and Polygames. CoRR Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud
2021	J	`jnl`	Deep learning for general game playing with Ludii and Polygames. ICGA J. Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud
2021	J	`jnl`	Inspirational Adversarial Image Generation. IEEE Trans. Image Process. Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2021	—	`ed.`	Monte Carlo Search - First Workshop, MCS 2020, Held in Conjunction with IJCAI 2020, Virtual Event, January 7, 2021, Proceedings MCS@IJCAI Tristan Cazenave, Olivier Teytaud, Mark H. M. Winands
2021	J	`jnl`	Seed Optimization Framework on Draughts. J. Inf. Sci. Eng. Ching-Nung Lin, Fabien Letouzey, Olivier Teytaud, Shi-Jim Yen
2021	J	`jnl`	Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants. CoRR Dennis J. N. J. Soemers, Vegard Mella, Éric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud
2020	A*	`conf`	Adversarial Attacks on Linear Contextual Bandits. NeurIPS Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Adversarial Attacks on Linear Contextual Bandits. CoRR Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	—	`ch.`	Artificial Intelligence for Games. A Guided Tour of Artificial Intelligence Research (2) (II) Bruno Bouzy, Tristan Cazenave, Vincent Corruble, Olivier Teytaud
2020	J	`jnl`	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2020	—	`conf`	EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
2020	J	`jnl`	EvolGAN: Evolutionary Generative Adversarial Networks. CoRR Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
2020	—	`conf`	Evolutionary super-resolution. GECCO Companion Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
2020	A*	`conf`	Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
2020	—	`conf`	On Averaging the Best Samples in Evolutionary Computation. PPSN (2) Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	—	`conf`	Open source evolutionary structured optimization. GECCO Companion Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud
2020	J	`jnl`	Polygames: Improved Zero Learning. CoRR Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko
2020	J	`jnl`	Polygames: Improved zero learning. ICGA J. Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko
2020	J	`jnl`	Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case. CoRR Marie-Liesse Cauwet, Olivier Teytaud
2020	—	`conf`	Population control meets doob's martingale theorems: the noise-free multimodal case. GECCO Companion Marie-Liesse Cauwet, Olivier Teytaud
2020	J	`jnl`	Proving μ>1. CoRR Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	B	`conf`	Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020	J	`jnl`	Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020	—	`conf`	Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2020	J	`jnl`	Variance Reduction for Better Sampling in Continuous Domains. CoRR Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2020	J	`jnl`	Versatile Black-Box Optimization. CoRR Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
2020	A	`conf`	Versatile black-box optimization. GECCO Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
2019	—	`conf`	A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization. SSCI Jialin Liu, Olivier Teytaud
2019	A	`conf`	Consistent population control: generate plenty of points, but with a bit of resampling. FOGA Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud
2019	—	`conf`	Efficient Decision Making under Uncertainty in a Power System Investment Problem. SSCI Jialin Liu, Olivier Teytaud
2019	—	`conf`	Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud
2019	J	`jnl`	Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
2019	J	`jnl`	Inspirational Adversarial Image Generation. CoRR Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2019	—	`conf`	Openly revisiting derivative-free optimization. GECCO (Companion) Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
2019	J	`jnl`	Yet another but more efficient black-box adversarial attack: tiling and evolution strategies. CoRR Laurent Meunier, Jamal Atif, Olivier Teytaud
2018	J	`jnl`	Exact Distributed Training: Random Forest with Billions of Examples. CoRR Mathieu Guillame-Bert, Olivier Teytaud
2018	J	`jnl`	PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. IEEE Trans. Fuzzy Syst. Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
2018	J	`jnl`	PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. CoRR Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
2018	B	`conf`	Surprising Strategies Obtained by Stochastic Optimization in Partially Observable Games. CEC Marie-Liesse Cauwet, Olivier Teytaud
2018	J	`jnl`	Surprising strategies obtained by stochastic optimization in partially observable games. CoRR Marie-Liesse Cauwet, Olivier Teytaud
2017	J	`jnl`	Better Text Understanding Through Image-To-Text Transfer. CoRR Karol Kurach, Sylvain Gelly, Michal Jastrzebski, Philip Häusser, Olivier Teytaud, Damien Vincent, Olivier Bousquet
2017	B	`conf`	Boosting a Bridge Artificial Intelligence. ICTAI Véronique Ventos, Yves Costel, Olivier Teytaud, Solène Thépaut Ventos
2017	J	`jnl`	Critical Hyper-Parameters: No Random, No Cry. CoRR Olivier Bousquet, Sylvain Gelly, Karol Kurach, Olivier Teytaud, Damien Vincent
2017	J	`jnl`	Le bridge, nouveau défi de l'intelligence artificielle ? Rev. d'Intelligence Artif. Véronique Ventos, Olivier Teytaud
2017	J	`jnl`	Toward Optimal Run Racing: Application to Deep Learning Calibration. CoRR Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent
2016	J	`jnl`	Algorithm portfolios for noisy optimization. Ann. Math. Artif. Intell. Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud
2016	A	`conf`	Analysis of Different Types of Regret in Continuous Noisy Optimization. GECCO Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
2016	J	`jnl`	Automatically Reinforcing a Game AI. CoRR David Lupien St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud
2016	—	`conf`	Fast Seed-Learning Algorithms for Games. Computers and Games Jialin Liu, Olivier Teytaud, Tristan Cazenave
2016	—	`conf`	Learning opening books in partially observable games: Using random seeds in Phantom Go. CIG Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
2016	J	`jnl`	Learning opening books in partially observable games: using random seeds in Phantom Go. CoRR Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
2016	—	`conf`	Multivariate bias reduction in capacity expansion planning. PSCC Marie-Liesse Cauwet, Olivier Teytaud
2016	A	`conf`	Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms. GECCO Marie-Liesse Cauwet, Olivier Teytaud
2016	—	`conf`	QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems. GECCO (Companion) Fabien Teytaud, Olivier Teytaud
2016	J	`jnl`	Scenario-based decision-making for power systems investment planning. CoRR Jialin Liu, Olivier Teytaud
2016	J	`jnl`	Simple and cumulative regret for continuous noisy optimization. Theor. Comput. Sci. Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
2015	J	`jnl`	Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. Theor. Comput. Sci. Youhei Akimoto, Sandra Astete Morales, Olivier Teytaud
2015	—	`conf`	Criteria and Convergence Rates in Noisy Optimization. GECCO (Companion) Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
2015	—	`conf`	Depth, balancing, and limits of the Elo model. CIG Marie-Liesse Cauwet, Olivier Teytaud, Tristan Cazenave, Abdallah Saffidine, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu
2015	J	`jnl`	Depth, balancing, and limits of the Elo model. CoRR Marie-Liesse Cauwet, Olivier Teytaud, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu, Tristan Cazenave, Abdallah Saffidine
2015	B	`conf`	Differential evolution for strongly noisy optimization: Use 1: 01 CEC Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Shi-Jim Yen
2015	A	`conf`	Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound. FOGA Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
2015	—	`conf`	Go Complexities. ACG Abdallah Saffidine, Olivier Teytaud, Shi-Jim Yen
2015	B	`conf`	Item response theory with fuzzy markup language for parameter estimation and validation. FUZZ-IEEE Mei-Hui Wang, Chi-Shiang Wang, Chang-Shing Lee, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
2015	B	`conf`	Nash reweighting of Monte Carlo simulations: Tsumego. CEC David Lupien St-Pierre, Jialin Liu, Olivier Teytaud
2015	—	`conf`	On the Codimension of the Set of Optima: Large Scale Optimisation with Few Relevant Variables. Artificial Evolution Vincent Berthier, Olivier Teytaud
2015	A	`conf`	Parallel Evolutionary Algorithms Performing Pairwise Comparisons. FOGA Marie-Liesse Cauwet, Olivier Teytaud, Shih-Yuan Chiu, Kuo-Min Lin, Shi-Jim Yen, David Lupien St-Pierre, Fabien Teytaud
2015	—	`conf`	Quasi-random Numbers Improve the CMA-ES on the BBOB Testbed. Artificial Evolution Olivier Teytaud
2015	J	`jnl`	T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go. IEEE Trans. Fuzzy Syst. Chang-Shing Lee, Mei-Hui Wang, Meng-Jhen Wu, Olivier Teytaud, Shi-Jim Yen
2015	—	`conf`	The rectangular seeds of Domineering. CIG Tristan Cazenave, Jialin Liu, Olivier Teytaud
2015	—	`conf`	Variance Reduction in Population-Based Optimization: Application to Unit Commitment. Artificial Evolution Jean-Joseph Christophe, Jérémie Decock, Jialin Liu, Olivier Teytaud
2015	—	`conf`	Variance Reduction in Population-Based Optimization: Application to Unit Commitment. GECCO (Companion) Jérémie Decock, Jialin Liu, Olivier Teytaud
2014	—	`conf`	A mathematically derived number of resamplings for noisy optimization. GECCO (Companion) Jialin Liu, David Lupien St-Pierre, Olivier Teytaud
2014	—	`conf`	Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. LION Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
2014	—	`ch.`	Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms. Theory and Principled Methods for the Design of Metaheuristics Fabien Teytaud, Olivier Teytaud
2014	—	`ch.`	Designing an Optimal Search Algorithm with Respect to Prior Information. Theory and Principled Methods for the Design of Metaheuristics Olivier Teytaud, Emmanuel Vázquez
2014	B	`conf`	Direct Model-Predictive Control. ESANN Jean-Joseph Christophe, Jérémie Decock, Olivier Teytaud
2014	J	`jnl`	Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits. CoRR Nicolas Galichet, Michèle Sebag, Olivier Teytaud
2014	B	`conf`	Meta Online Learning: Experiments on a Unit Commitment Problem. ESANN Jialin Liu, Olivier Teytaud
2014	B	`conf`	Sharing Information in Adversarial Bandit. EvoApplications David Lupien St-Pierre, Olivier Teytaud
2014	C	`conf`	Sparse binary zero-sum games. ACML David Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud
2014	J	`jnl`	Strategic Choices in Optimization. J. Inf. Sci. Eng. Cheng-Wei Chou, Ping-Chiang Chou, Jean-Joseph Christophe, Adrien Couëtoux, Pierre de Freminville, Nicolas Galichet, Chang-Shing Lee, Jialin Liu, David Lupien Saint-Pierre, Michèle Sebag, Olivier Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen
2014	—	`conf`	The Nash and the bandit approaches for adversarial portfolios. CIG David Lupien St-Pierre, Olivier Teytaud
2013	—	`conf`	Continuous Upper Confidence Trees with Polynomial Exploration - Consistency. ECML/PKDD (1) David Auger, Adrien Couëtoux, Olivier Teytaud
2013	C	`conf`	Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits. ACML Nicolas Galichet, Michèle Sebag, Olivier Teytaud
2013	—	`conf`	Fuzzy Ontologies for the Game of Go. On Fuzziness (1) Chang-Shing Lee, Mei-Hui Wang, Olivier Teytaud
2013	—	`conf`	Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond Quasi-Convex Functions. Artificial Evolution Jérémie Decock, Olivier Teytaud
2013	—	`conf`	Log-log Convergence for Noisy Optimization. Artificial Evolution Sandra Astete Morales, Jialin Liu, Olivier Teytaud
2013	A	`conf`	Noisy optimization complexity under locality assumption. FOGA Jérémie Decock, Olivier Teytaud
2013	—	`conf`	Noisy optimization convergence rates. GECCO (Companion) Sandra Astete Morales, Jialin Liu, Olivier Teytaud
2013	B	`conf`	T2FML-based adaptive assessment system for computer game of Go. FUZZ-IEEE Chang-Shing Lee, Meng-Jhen Wu, Mei-Hui Wang, Olivier Teytaud, Hui-Min Wang, Shi-Jim Yen
2012	J	`jnl`	Computational Intelligence Meets Game of Go @ IEEE WCCI 2012 [Society Briefs]. IEEE Comput. Intell. Mag. Chang-Shing Lee, Olivier Teytaud, Mei-Hui Wang, Shi-Jim Yen
2012	J	`jnl`	Evolutionary optimization of low-discrepancy sequences. ACM Trans. Model. Comput. Simul. François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau
2012	J	`jnl`	Genetic fuzzy markup language for game of NoGo. Knowl. Based Syst. Chang-Shing Lee, Mei-Hui Wang, Yu-Jen Chen, Hani Hagras, Meng-Jhen Wu, Olivier Teytaud
2012	J	`jnl`	Human vs. Machine Go Competition in IEEE WCCCI 2012. ICGA J. Chang-Shing Lee, Mei-Hui Wang, Olivier Teytaud, Shi-Jim Yen
2012	—	`conf`	Improving the Exploration in Upper Confidence Trees. LION Adrien Couëtoux, Hassen Doghmen, Olivier Teytaud
2012	—	`conf`	Strategic Choices: Small Budgets and Simple Regret. TAAI Cheng-Wei Chou, Ping-Chiang Chou, Chang-Shing Lee, David Lupien Saint-Pierre, Olivier Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen
2012	J	`jnl`	The Frontier of Decidability in Partially Observable Recursive Games. Int. J. Found. Comput. Sci. David Auger, Olivier Teytaud
2012	J	`jnl`	The grand challenge of computer Go: Monte Carlo tree search and extensions. Commun. ACM Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sebag, David Silver, Csaba Szepesvári, Olivier Teytaud
2012	—	`conf`	Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper. LION Michèle Sebag, Olivier Teytaud
2011	—	`conf`	A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize. Artificial Evolution Marc Schoenauer, Fabien Teytaud, Olivier Teytaud
2011	A	`conf`	Comparison-based complexity of multiobjective optimization. GECCO Olivier Teytaud
2011	—	`conf`	Computational and human intelligence in blind Go. CIG Ping-Chiang Chou, Hassen Doghmen, Chang-Shing Lee, Fabien Teytaud, Olivier Teytaud, Hui-Min Wang, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen
2011	C	`conf`	Continuous RAVE. ACML Adrien Couëtoux, Mario Milone, Mátyás Brendel, Hassen Doghmen, Michèle Sebag, Olivier Teytaud
2011	—	`conf`	Continuous Upper Confidence Trees. LION Adrien Couëtoux, Jean-Baptiste Hoock, Nataliya Sokolovska, Olivier Teytaud, Nicolas Bonnard
2011	A	`conf`	Handling expensive optimization with large noise. FOGA Rémi Coulom, Philippe Rolet, Nataliya Sokolovska, Olivier Teytaud
2011	J	`jnl`	Human vs. Computer Go Competition in FUZZ-IEEE 2011. ICGA J. Shi-Jim Yen, Shih-Yuan Chiu, Cheng-Wei Chou, Chang-Shing Lee, Hassen Doghmen, Fabien Teytaud, Olivier Teytaud
2011	—	`conf`	Intelligent agents for games and computer Go. IEEE IA Chang-Shing Lee, Olivier Teytaud
2011	—	`conf`	Lemmas on partial observation, with application to phantom games. CIG Fabien Teytaud, Olivier Teytaud
2011	J	`jnl`	Lower Bounds for Comparison Based Evolution Strategies Using VC-dimension and Sign Patterns. Algorithmica Hervé Fournier, Olivier Teytaud
2011	—	`ch.`	Lower Bounds for Evolution Strategies. Theory of Randomized Search Heuristics Olivier Teytaud
2011	—	`conf`	Online Sparse Bandit for Card Games. ACG David Lupien St-Pierre, Quentin Louveaux, Olivier Teytaud
2011	—	`conf`	Q-Learning with Double Progressive Widening: Application to Robotics. ICONIP (3) Nataliya Sokolovska, Olivier Teytaud, Mario Milone
2011	—	`conf`	Random positions in Go. CIG Bernard Helmstetter, Chang-Shing Lee, Fabien Teytaud, Olivier Teytaud, Mei-Hui Wang, Shi-Jim Yen
2011	—	`conf`	Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo. EvoApplications (1) Cheng-Wei Chou, Olivier Teytaud, Shi-Jim Yen
2011	—	`conf`	Simple tools for multimodal optimization. GECCO (Companion) Marc Schoenauer, Fabien Teytaud, Olivier Teytaud
2011	J	`jnl`	The IEEE SSCI 2011 Human vs. Computer Go Competition. ICGA J. Shi-Jim Yen, Cheng-Wei Chou, Chang-Shing Lee, Hassen Doghmen, Olivier Teytaud
2011	—	`conf`	Towards a Solution of 7x7 Go with Meta-MCTS. ACG Cheng-Wei Chou, Ping-Chiang Chou, Hassen Doghmen, Chang-Shing Lee, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Hui-Min Wang, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen
2011	—	`conf`	Upper Confidence Trees with Short Term Partial Information. EvoApplications (1) Olivier Teytaud, Sébastien Flory
2010	—	`conf`	A Principled Method for Exploiting Opening Books. Computers and Games Romaric Gaudel, Jean-Baptiste Hoock, Julien Perez, Nataliya Sokolovska, Olivier Teytaud
2010	—	`conf`	Adaptive Noisy Optimization. EvoApplications (1) Philippe Rolet, Olivier Teytaud
2010	—	`conf`	Bandit-Based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis. LION Philippe Rolet, Olivier Teytaud
2010	B	`conf`	Bandit-Based Genetic Programming. EuroGP Jean-Baptiste Hoock, Olivier Teytaud
2010	—	`conf`	Biasing Monte-Carlo Simulations through RAVE Values. Computers and Games Arpad Rimmel, Fabien Teytaud, Olivier Teytaud
2010	—	`conf`	Complexity Bounds for Batch Active Learning in Classification. ECML/PKDD (3) Philippe Rolet, Olivier Teytaud
2010	—	`conf`	Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search. LION Vincent Berthier, Hassen Doghmen, Olivier Teytaud
2010	J	`jnl`	Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms. Algorithmica Anne Auger, Olivier Teytaud
2010	J	`jnl`	Current Frontiers in Computer Go. IEEE Trans. Comput. Intell. AI Games Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Shi-Jim Yen, Mei-Hui Wang, Shang-Rong Tsai
2010	J	`jnl`	Intelligent Agents for the Game of Go. IEEE Comput. Intell. Mag. Jean-Baptiste Hoock, Chang-Shing Lee, Arpad Rimmel, Fabien Teytaud, Mei-Hui Wang, Olivier Teytaud
2010	—	`conf`	Log(lambda) Modifications for Optimal Parallelism. PPSN (1) Fabien Teytaud, Olivier Teytaud
2010	—	`conf`	On the huge benefit of decisive moves in Monte-Carlo Tree Search algorithms. CIG Fabien Teytaud, Olivier Teytaud
2010	—	`conf`	Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing. ICINCO (1) Amine Bourki, Matthieu Coulm, Philippe Rolet, Olivier Teytaud, Paul Vayssière
2010	—	`conf`	Scalability and Parallelization of Monte-Carlo Tree Search. Computers and Games Amine Bourki, Guillaume Chaslot, Matthieu Coulm, Vincent Danjean, Hassen Doghmen, Jean-Baptiste Hoock, Thomas Hérault, Arpad Rimmel, Fabien Teytaud, Olivier Teytaud, Paul Vayssière, Ziqin Yut
2010	J	`jnl`	Special Issue on Monte Carlo Techniques and Computer Go. IEEE Trans. Comput. Intell. AI Games Chang-Shing Lee, Martin Müller, Olivier Teytaud
2010	J	`jnl`	The Game of Go @ IEEE WCCI 2010 [Society Briefs]. IEEE Comput. Intell. Mag. Chang-Shing Lee, Mei-Hui Wang, Olivier Teytaud, Yuan-Liang Wang
2009	B	`conf`	A Statistical Learning Perspective of Genetic Programming. EuroGP Nur Merve Amil, Nicolas Bredèche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud
2009	B	`conf`	A novel ontology for computer go knowledge management. FUZZ-IEEE Chang-Shing Lee, Mei-Hui Wang, Tzung-Pei Hong, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Yau-Hwang Kuo
2009	—	`conf`	Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search. ACG Guillaume Chaslot, Christophe Fiter, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud
2009	—	`conf`	Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm. ECML/PKDD (2) Philippe Rolet, Michèle Sebag, Olivier Teytaud
2009	J	`jnl`	Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo. Apprentissage et MC. Rev. d'Intelligence Artif. Guillaume Chaslot, L. Chatriot, Christophe Fiter, Sylvain Gelly, Jean-Baptiste Hoock, Julien Perez, Arpad Rimmel, Olivier Teytaud
2009	—	`conf`	Creating an Upper-Confidence-Tree Program for Havannah. ACG Fabien Teytaud, Olivier Teytaud
2009	—	`conf`	Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go. EvoWorkshops Pierre Audouard, Guillaume Chaslot, Jean-Baptiste Hoock, Julien Perez, Arpad Rimmel, Olivier Teytaud
2009	—	`conf`	On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies. EvoWorkshops Fabien Teytaud, Olivier Teytaud
2009	B	`conf`	On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers. ESANN Guillaume Chaslot, Jean-Baptiste Hoock, Fabien Teytaud, Olivier Teytaud
2009	A	`conf`	Optimal robust expensive optimization is tractable. GECCO Philippe Rolet, Michèle Sebag, Olivier Teytaud
2009	A	`conf`	Optimizing low-discrepancy sequences with an evolutionary algorithm. GECCO François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau
2009	J	`jnl`	The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments. IEEE Trans. Comput. Intell. AI Games Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong
2009	A	`conf`	Why one must use reweighting in estimation of distribution algorithms. GECCO Fabien Teytaud, Olivier Teytaud
2008	A	`conf`	Lower Bounds for Evolution Strategies Using VC-Dimension. PPSN Olivier Teytaud, Hervé Fournier
2008	—	`conf`	The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning. ICINCO-ICSO Sylvain Gelly, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Y. Kalemkarian
2008	A	`conf`	When Does Quasi-random Work?. PPSN Olivier Teytaud
2007	—	`conf`	Active learning in regression, with application to stochastic dynamic programming. ICINCO-ICSO Olivier Teytaud, Sylvain Gelly, Jérémie Mary
2007	—	`ch.`	Association Rule Interestingness: Measure and Statistical Validation. Quality Measures in Data Mining Stéphane Lallich, Olivier Teytaud, Elie Prudhomme
2007	J	`jnl`	Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime. Evol. Comput. Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
2007	—	`conf`	Conditioning, Halting Criteria and Choosing lambda. Artificial Evolution Olivier Teytaud
2007	A	`conf`	Continuous lunches are free! GECCO Anne Auger, Olivier Teytaud
2007	A	`conf`	DCMA: yet another derandomization in covariance-matrix-adaptation. GECCO Olivier Teytaud, Sylvain Gelly
2007	—	`conf`	Nonlinear programming in approximate dynamic programming - bang-bang solutions, stock-management and unsmooth penalties. ICINCO-ICSO Olivier Teytaud, Sylvain Gelly
2007	J	`jnl`	On the Hardness of Offline Multi-objective Optimization. Evol. Comput. Olivier Teytaud
2007	B	`conf`	On the adaptation of noise level for stochastic optimization. IEEE Congress on Evolutionary Computation Olivier Teytaud, Anne Auger
2007	C	`conf`	Slightly Beyond Turing's Computability for Studying Genetic Programming. MCU Olivier Teytaud
2006	J	`jnl`	Bayesian Networks: a Non-Frequentist Approach for Parametrization, and a more Accurate Structural Complexity Measure Bayesian Networks Learning. Rev. d'Intelligence Artif. Sylvain Gelly, Olivier Teytaud
2006	A	`conf`	General Lower Bounds for Evolutionary Algorithms. PPSN Olivier Teytaud, Sylvain Gelly
2006	B	`conf`	Learning for stochastic dynamic programming. ESANN Sylvain Gelly, Jérémie Mary, Olivier Teytaud
2006	A	`conf`	On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy. PPSN Olivier Teytaud, Sylvain Gelly, Jérémie Mary
2006	J	`jnl`	Optimal estimation for Large-Eddy Simulation of turbulence and application to the analysis of subgrid models CoRR Antoine Moreau, Olivier Teytaud, Jean-Pierre Bertoglio
2006	B	`conf`	Resource-Aware Parameterizations of EDA. IEEE Congress on Evolutionary Computation Sylvain Gelly, Olivier Teytaud, Christian Gagné
2006	J	`jnl`	Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint. Rev. d'Intelligence Artif. Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer
2006	B	`conf`	Why Simulation-Based Approachs with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions. IEEE Congress on Evolutionary Computation Olivier Teytaud
2005	A*	`conf`	A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns. IJCAI Michèle Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefèvre, Sylvain Baillet
2005	A	`conf`	A statistical learning theory approach of bloat. GECCO Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer
2005	J	`jnl`	Adaptive estimation of normals and surface area for discrete 3-D objects: application to snow binary data from X-ray tomography. IEEE Trans. Image Process. Frédéric Flin, Jean-Bruno Brzoska, David Coeurjolly, Romeu André Pieritz, Bernard Lesaffre, Cécile Coléou, Pascal Lamboley, Olivier Teytaud, Gérard Vignoles, Jean-François Delesse
2005	—	`conf`	Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies. Artificial Evolution Anne Auger, Mohamed Jebalia, Olivier Teytaud
2005	—	`conf`	Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable? CAP Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer
2005	A	`conf`	Local and global order 3/2 convergence of a surrogate evolutionary algorithm. GECCO Anne Auger, Marc Schoenauer, Olivier Teytaud
2005	—	`conf`	Multi-objective Multi-modal Optimization for Mining Spatio-temporal Patterns. CAP Nicolas Tarrisson, Michèle Sebag, Olivier Teytaud, Julien Lefèvre, Sylvain Baillet
2005	—	`conf`	Statistical asymptotic and non-asymptotic consistency of bayesian networks: convergence to the right structure and consistent probability estimates. CAP Sylvain Gelly, Olivier Teytaud
2005	—	`conf`	Systèmes inductifs-déductifs: une approche statistique. CAP Nicolas Baskiotis, Michèle Sebag, Olivier Teytaud
2005	—	`conf`	Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management. CAP Sylvain Gelly, Jérémie Mary, Olivier Teytaud
2004	—	`conf`	Contrôle du risque multiple pour la sélection de règles d'association significatives. EGC Stéphane Lallich, Elie Prudhomme, Olivier Teytaud
2002	C	`conf`	Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error. ICANN Gérald Gavin, Olivier Teytaud
2002	—	`conf`	Multigrid Convergence and Surface Area Estimation. Theoretical Foundations of Computer Vision David Coeurjolly, Frédéric Flin, Olivier Teytaud, Laure Tougne
2001	C	`conf`	Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. ICANN Olivier Teytaud, Hélène Paugam-Moisy
2001	J	`jnl`	Decidability of the halting problem for Matiyasevich deterministic machines. Theor. Comput. Sci. Olivier Teytaud
2001	—	`conf`	Identification de la langue et catégorisation de textes basées sur les N-grammes. EGC Radwan Jalam, Olivier Teytaud
2001	C	`conf`	Kernel Based Image Classification. ICANN Olivier Teytaud, David Sarrut
2000	—	`conf`	Segmentation and Length Estimation of 3D Discrete Curves. Digital and Image Geometry David Coeurjolly, Isabelle Debled-Rennesson, Olivier Teytaud