| 2023 | GECCO | Interactive Latent Diffusion Model. | Mathurin Videau, Nickolai Knizev, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud |
| 2022 | CGO | CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. | 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 | EUROGP | Multi-objective Genetic Programming for Explainable Reinforcement Learning. | Mathurin Videau, Alessandro Ferreira Leite, Olivier Teytaud, Marc Schoenauer |
| 2022 | GECCO | Fairness in generative modeling: do it unsupervised! | Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanal Carraz Rakotonirina, Laurent Najman, Markus Wagner |
| 2022 | PPSN | Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. | Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel Lpez-Ibez, Carola Doerr |
| 2021 | FOGA | Asymptotic convergence rates for averaging strategies. | Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud |
| 2020 | ACCV | EvolGAN: Evolutionary Generative Adversarial Networks. | Baptiste Rozire, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jrmy Rapin, Mariia Zameshina, Olivier Teytaud |
| 2020 | GECCO | Versatile black-box optimization. | Jialin Liu, Antoine Moreau, Mike Preuss, Jrmy Rapin, Baptiste Rozire, Fabien Teytaud, Olivier Teytaud |
| 2020 | GECCO | Population control meets doob's martingale theorems: the noise-free multimodal case. | Marie-Liesse Cauwet, Olivier Teytaud |
| 2020 | GECCO | Open source evolutionary structured optimization. | Jrmy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud |
| 2020 | GECCO | Evolutionary super-resolution. | Baptiste Rozire, Nathanal Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie |
| 2020 | ICML | Fully Parallel Hyperparameter Search: Reshaped Space-Filling. | Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jrmy Rapin, Morgane Rivire, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier |
| 2020 | ICPR | Tarsier: Evolving Noise Injection in Super-Resolution GANs. | Baptiste Rozire, Nathanal Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud |
| 2020 | PPSN | On Averaging the Best Samples in Evolutionary Computation. | Laurent Meunier, Yann Chevaleyre, Jrmy Rapin, Clment W. Royer, Olivier Teytaud |
| 2020 | PPSN | Variance Reduction for Better Sampling in Continuous Domains. | Laurent Meunier, Carola Doerr, Jrmy Rapin, Olivier Teytaud |
| 2019 | FOGA | Consistent population control: generate plenty of points, but with a bit of resampling. | Vasil Khalidov, Maxime Oquab, Jrmy Rapin, Olivier Teytaud |
| 2019 | GECCO | Openly revisiting derivative-free optimization. | Jrmy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud |
| 2019 | GECCO | Exploring the MLDA benchmark on the nevergrad platform. | Jrmy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud |
| 2018 | CEC | Surprising Strategies Obtained by Stochastic Optimization in Partially Observable Games. | Marie-Liesse Cauwet, Olivier Teytaud |
| 2017 | ICTAI | Boosting a Bridge Artificial Intelligence. | Vronique Ventos, Yves Costel, Olivier Teytaud, Solne Thpaut Ventos |
| 2016 | GECCO | Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms. | Marie-Liesse Cauwet, Olivier Teytaud |
| 2016 | GECCO | Analysis of Different Types of Regret in Continuous Noisy Optimization. | Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud |
| 2016 | GECCO | QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems. | Fabien Teytaud, Olivier Teytaud |
| 2015 | CEC | Differential evolution for strongly noisy optimization: Use 1: 01 | Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Shi-Jim Yen |
| 2015 | CEC | Nash reweighting of Monte Carlo simulations: Tsumego. | David Lupien St-Pierre, Jialin Liu, Olivier Teytaud |
| 2015 | FOGA | Parallel Evolutionary Algorithms Performing Pairwise Comparisons. | Marie-Liesse Cauwet, Olivier Teytaud, Shih-Yuan Chiu, Kuo-Min Lin, Shi-Jim Yen, David Lupien St-Pierre, Fabien Teytaud |
| 2015 | FOGA | Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound. | Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud |
| 2015 | GECCO | Variance Reduction in Population-Based Optimization: Application to Unit Commitment. | Jrmie Decock, Jialin Liu, Olivier Teytaud |
| 2015 | GECCO | Criteria and Convergence Rates in Noisy Optimization. | Sandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud |
| 2014 | ACML | Sparse binary zero-sum games. | David Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud |
| 2014 | ESANN | Direct Model-Predictive Control. | Jean-Joseph Christophe, Jrmie Decock, Olivier Teytaud |
| 2014 | ESANN | Meta Online Learning: Experiments on a Unit Commitment Problem. | Jialin Liu, Olivier Teytaud |
| 2014 | GECCO | A mathematically derived number of resamplings for noisy optimization. | Jialin Liu, David Lupien St-Pierre, Olivier Teytaud |
| 2013 | ACML | Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits. | Nicolas Galichet, Michle Sebag, Olivier Teytaud |
| 2013 | FOGA | Noisy optimization complexity under locality assumption. | Jrmie Decock, Olivier Teytaud |
| 2013 | GECCO | Noisy optimization convergence rates. | Sandra Astete Morales, Jialin Liu, Olivier Teytaud |
| 2011 | FOGA | Handling expensive optimization with large noise. | Rmi Coulom, Philippe Rolet, Nataliya Sokolovska, Olivier Teytaud |
| 2011 | GECCO | Simple tools for multimodal optimization. | Marc Schoenauer, Fabien Teytaud, Olivier Teytaud |
| 2011 | GECCO | Comparison-based complexity of multiobjective optimization. | Olivier Teytaud |
| 2011 | ICONIP | Q-Learning with Double Progressive Widening: Application to Robotics. | Nataliya Sokolovska, Olivier Teytaud, Mario Milone |
| 2010 | EUROGP | Bandit-Based Genetic Programming. | Jean-Baptiste Hoock, Olivier Teytaud |
| 2010 | ICINCO | Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing. | Amine Bourki, Matthieu Coulm, Philippe Rolet, Olivier Teytaud, Paul Vayssire |
| 2010 | PPSN | Log(lambda) Modifications for Optimal Parallelism. | Fabien Teytaud, Olivier Teytaud |
| 2009 | ESANN | 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 |
| 2009 | EUROGP | A Statistical Learning Perspective of Genetic Programming. | Nur Merve Amil, Nicolas Bredche, Christian Gagn, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud |
| 2009 | GECCO | Optimizing low-discrepancy sequences with an evolutionary algorithm. | Franois-Michel De Rainville, Christian Gagn, Olivier Teytaud, Denis Laurendeau |
| 2009 | GECCO | Optimal robust expensive optimization is tractable. | Philippe Rolet, Michle Sebag, Olivier Teytaud |
| 2009 | GECCO | Why one must use reweighting in estimation of distribution algorithms. | Fabien Teytaud, Olivier Teytaud |
| 2008 | ICINCO | The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning. | Sylvain Gelly, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Y. Kalemkarian |
| 2008 | PPSN | When Does Quasi-random Work?. | Olivier Teytaud |
| 2008 | PPSN | Lower Bounds for Evolution Strategies Using VC-Dimension. | Olivier Teytaud, Herv Fournier |
| 2007 | CEC | On the adaptation of noise level for stochastic optimization. | Olivier Teytaud, Anne Auger |
| 2007 | GECCO | Continuous lunches are free! | Anne Auger, Olivier Teytaud |
| 2007 | GECCO | DCMA: yet another derandomization in covariance-matrix-adaptation. | Olivier Teytaud, Sylvain Gelly |
| 2007 | ICINCO | Nonlinear programming in approximate dynamic programming - bang-bang solutions, stock-management and unsmooth penalties. | Olivier Teytaud, Sylvain Gelly |
| 2007 | ICINCO | Active learning in regression, with application to stochastic dynamic programming. | Olivier Teytaud, Sylvain Gelly, Jrmie Mary |
| 2007 | MCU | Slightly Beyond Turing's Computability for Studying Genetic Programming. | Olivier Teytaud |
| 2006 | CEC | Resource-Aware Parameterizations of EDA. | Sylvain Gelly, Olivier Teytaud, Christian Gagn |
| 2006 | CEC | Why Simulation-Based Approachs with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions. | Olivier Teytaud |
| 2006 | ESANN | Learning for stochastic dynamic programming. | Sylvain Gelly, Jrmie Mary, Olivier Teytaud |
| 2006 | PPSN | General Lower Bounds for Evolutionary Algorithms. | Olivier Teytaud, Sylvain Gelly |
| 2006 | PPSN | On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy. | Olivier Teytaud, Sylvain Gelly, Jrmie Mary |
| 2005 | GECCO | Local and global order 3/2 convergence of a surrogate evolutionary algorithm. | Anne Auger, Marc Schoenauer, Olivier Teytaud |
| 2005 | GECCO | A statistical learning theory approach of bloat. | Sylvain Gelly, Olivier Teytaud, Nicolas Bredche, Marc Schoenauer |
| 2005 | IJCAI | A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns. | Michle Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefvre, Sylvain Baillet |
| 2002 | ICANN | Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error. | Grald Gavin, Olivier Teytaud |
| 2001 | ICANN | Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. | Olivier Teytaud, Hlne Paugam-Moisy |
| 2001 | ICANN | Kernel Based Image Classification. | Olivier Teytaud, David Sarrut |