Olivier Teytaud

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 85

Top Venues

Publications

Mariia Zameshina, Marlène Careil, Olivier Teytaud, Laurent Najman
PrivacyGAN: robust generative image privacy. CoRR (2023)
Mathurin Videau, Nickolai Knizev, Alessandro Leite, Marc Schoenauer, Olivier Teytaud
Interactive Latent Diffusion Model. GECCO (2023)
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. CoRR (2023)
Dennis J. N. J. Soemers, Vegard Mella, Éric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud
Towards a General Transfer Approach for Policy-Value Networks. Trans. Mach. Learn. Res. 2023 (2023)
Mariia Zameshina, Olivier Teytaud, Laurent Najman
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation. CoRR (2023)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. 26 (3) (2022)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. PPSN (1) (2022)
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner
Fairness in generative modeling: do it unsupervised! GECCO Companion (2022)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration. CoRR (2022)
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO (2022)
Mathurin Videau, Alessandro Leite, Olivier Teytaud, Marc Schoenauer
Multi-objective Genetic Programming for Explainable Reinforcement Learning. EuroGP (2022)
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman, Markus Wagner
Fairness in generative modeling. CoRR (2022)
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
Asymptotic convergence rates for averaging strategies. CoRR (2021)
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
Asymptotic convergence rates for averaging strategies. FOGA (2021)
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR (2021)
Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud
Deep learning for general game playing with Ludii and Polygames. J. Int. Comput. Games Assoc. 43 (3) (2021)
Dennis J. N. J. Soemers, Vegard Mella, Éric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants. CoRR (2021)
Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud
Deep Learning for General Game Playing with Ludii and Polygames. CoRR (2021)
Ching-Nung Lin, Fabien Letouzey, Olivier Teytaud, Shi-Jim Yen
Seed Optimization Framework on Draughts. J. Inf. Sci. Eng. 37 (2) (2021)
Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Inspirational Adversarial Image Generation. IEEE Trans. Image Process. 30 (2021)
Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
Proving μ>1. CoRR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
Evolutionary super-resolution. GECCO Companion (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. CoRR (2020)
Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) (2020)
Marie-Liesse Cauwet, Olivier Teytaud
Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case. CoRR (2020)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR (2020)
Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
Variance Reduction for Better Sampling in Continuous Domains. CoRR (2020)
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
Polygames: Improved Zero Learning. CoRR (2020)
Marie-Liesse Cauwet, Olivier Teytaud
Population control meets doob's martingale theorems: the noise-free multimodal case. GECCO Companion (2020)
Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud
Open source evolutionary structured optimization. GECCO Companion (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) (2020)
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
Polygames: Improved zero learning. J. Int. Comput. Games Assoc. 42 (4) (2020)
Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
Adversarial Attacks on Linear Contextual Bandits. NeurIPS (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
Versatile black-box optimization. GECCO (2020)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML (2020)
Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
On Averaging the Best Samples in Evolutionary Computation. PPSN (2) (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
Versatile Black-Box Optimization. CoRR (2020)
Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
Adversarial Attacks on Linear Contextual Bandits. CoRR (2020)
Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud
Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) (2019)
Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
Openly revisiting derivative-free optimization. GECCO (Companion) (2019)
Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud
Consistent population control: generate plenty of points, but with a bit of resampling. FOGA (2019)
Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Inspirational Adversarial Image Generation. CoRR (2019)
Jialin Liu, Olivier Teytaud
Efficient Decision Making under Uncertainty in a Power System Investment Problem. SSCI (2019)
Laurent Meunier, Jamal Atif, Olivier Teytaud
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies. CoRR (2019)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR (2019)
Jialin Liu, Olivier Teytaud
A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization. SSCI (2019)
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. CoRR (2018)
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Marie-Liesse Cauwet, Olivier Teytaud
Surprising strategies obtained by stochastic optimization in partially observable games. CoRR (2018)
Mathieu Guillame-Bert, Olivier Teytaud
Exact Distributed Training: Random Forest with Billions of Examples. CoRR (2018)
Marie-Liesse Cauwet, Olivier Teytaud
Surprising Strategies Obtained by Stochastic Optimization in Partially Observable Games. CEC (2018)
Véronique Ventos, Yves Costel, Olivier Teytaud, Solene Thepaut Ventos
Boosting a Bridge Artificial Intelligence. ICTAI (2017)
Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent
Toward Optimal Run Racing: Application to Deep Learning Calibration. CoRR (2017)
Karol Kurach, Sylvain Gelly, Michal Jastrzebski, Philip Häusser, Olivier Teytaud, Damien Vincent, Olivier Bousquet
Better Text Understanding Through Image-To-Text Transfer. CoRR (2017)
Olivier Bousquet, Sylvain Gelly, Karol Kurach, Olivier Teytaud, Damien Vincent
Critical Hyper-Parameters: No Random, No Cry. CoRR (2017)
Véronique Ventos, Olivier Teytaud
Le bridge, nouveau défi de l'intelligence artificielle ? Rev. d'Intelligence Artif. 31 (3) (2017)
Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
Analysis of Different Types of Regret in Continuous Noisy Optimization. GECCO (2016)
Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
Learning opening books in partially observable games: Using random seeds in Phantom Go. CIG (2016)
Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud
Algorithm portfolios for noisy optimization. Ann. Math. Artif. Intell. 76 (1-2) (2016)
Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
Learning opening books in partially observable games: using random seeds in Phantom Go. CoRR (2016)
Marie-Liesse Cauwet, Olivier Teytaud
Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms. GECCO (2016)
Jialin Liu, Olivier Teytaud, Tristan Cazenave
Fast Seed-Learning Algorithms for Games. Computers and Games (2016)
Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
Simple and cumulative regret for continuous noisy optimization. Theor. Comput. Sci. 617 (2016)
Jialin Liu, Olivier Teytaud
Scenario-based decision-making for power systems investment planning. CoRR (2016)
Marie-Liesse Cauwet, Olivier Teytaud
Multivariate bias reduction in capacity expansion planning. PSCC (2016)
David Lupien St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud
Automatically Reinforcing a Game AI. CoRR (2016)
Fabien Teytaud, Olivier Teytaud
QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems. GECCO (Companion) (2016)
Marie-Liesse Cauwet, Olivier Teytaud, Tristan Cazenave, Abdallah Saffidine, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu
Depth, balancing, and limits of the Elo model. CIG (2015)
Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound. FOGA (2015)
Marie-Liesse Cauwet, Olivier Teytaud, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu, Tristan Cazenave, Abdallah Saffidine
Depth, balancing, and limits of the Elo model. CoRR (2015)
Jérémie Decock, Jialin Liu, Olivier Teytaud
Variance Reduction in Population-Based Optimization: Application to Unit Commitment. GECCO (Companion) (2015)
Tristan Cazenave, Jialin Liu, Olivier Teytaud
The rectangular seeds of Domineering. CIG (2015)
David Lupien St-Pierre, Jialin Liu, Olivier Teytaud
Nash reweighting of Monte Carlo simulations: Tsumego. CEC (2015)
Marie-Liesse Cauwet, Olivier Teytaud, Shih-Yuan Chiu, Kuo-Min Lin, Shi-Jim Yen, David Lupien St-Pierre, Fabien Teytaud
Parallel Evolutionary Algorithms Performing Pairwise Comparisons. FOGA (2015)
Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud
Criteria and Convergence Rates in Noisy Optimization. GECCO (Companion) (2015)
Chang-Shing Lee, Mei-Hui Wang, Meng-Jhen Wu, Olivier Teytaud, Shi-Jim Yen
T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go. IEEE Trans. Fuzzy Syst. 23 (2) (2015)
Abdallah Saffidine, Olivier Teytaud, Shi-Jim Yen
Go Complexities. ACG (2015)
Youhei Akimoto, Sandra Astete Morales, Olivier Teytaud
Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. Theor. Comput. Sci. 605 (2015)
Olivier Teytaud
Quasi-random Numbers Improve the CMA-ES on the BBOB Testbed. Artificial Evolution (2015)
Vincent Berthier, Olivier Teytaud
On the Codimension of the Set of Optima: Large Scale Optimisation with Few Relevant Variables. Artificial Evolution (2015)
Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Shi-Jim Yen
resamplings at iteration n and Reach the -1/2 slope. CEC (2015)
Jean-Joseph Christophe, Jérémie Decock, Jialin Liu, Olivier Teytaud
Variance Reduction in Population-Based Optimization: Application to Unit Commitment. Artificial Evolution (2015)
Mei-Hui Wang, Chi-Shiang Wang, Chang-Shing Lee, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
Item response theory with fuzzy markup language for parameter estimation and validation. FUZZ-IEEE (2015)
Nicolas Galichet, Michèle Sebag, Olivier Teytaud
Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits. CoRR (2014)
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
Strategic Choices in Optimization. J. Inf. Sci. Eng. 30 (3) (2014)
Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. LION (2014)
David Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud
Sparse binary zero-sum games. ACML (2014)
Jean-Joseph Christophe, Jérémie Decock, Olivier Teytaud
Direct Model-Predictive Control. ESANN (2014)
David Lupien St-Pierre, Olivier Teytaud
Sharing Information in Adversarial Bandit. EvoApplications (2014)
Jialin Liu, Olivier Teytaud
Meta Online Learning: Experiments on a Unit Commitment Problem. ESANN (2014)
Jialin Liu, David Lupien St-Pierre, Olivier Teytaud
A mathematically derived number of resamplings for noisy optimization. GECCO (Companion) (2014)
David Lupien St-Pierre, Olivier Teytaud
The Nash and the bandit approaches for adversarial portfolios. CIG (2014)
Jérémie Decock, Olivier Teytaud
Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond Quasi-Convex Functions. Artificial Evolution (2013)
David Auger, Adrien Couëtoux, Olivier Teytaud
Continuous Upper Confidence Trees with Polynomial Exploration - Consistency. ECML/PKDD (1) (2013)
Chang-Shing Lee, Meng-Jhen Wu, Mei-Hui Wang, Olivier Teytaud, Hui-Min Wang, Shi-Jim Yen
T2FML-based adaptive assessment system for computer game of Go. FUZZ-IEEE (2013)
Jérémie Decock, Olivier Teytaud
Noisy optimization complexity under locality assumption. FOGA (2013)
Sandra Astete Morales, Jialin Liu, Olivier Teytaud
Noisy optimization convergence rates. GECCO (Companion) (2013)
Nicolas Galichet, Michèle Sebag, Olivier Teytaud
Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits. ACML (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Olivier Teytaud