| 2026 | COLT | Leveraging Similarities in Multi-Armed Bandits. | Khaled Eldowa, Thibaud Rahier, Augustin Cablant, Panayotis Mertikopoulos, Pierre Gaillard |
| 2025 | ALT | Minimax-optimal and Locally-adaptive Online Nonparametric Regression. | Paul Liautaud, Pierre Gaillard, Olivier Wintenberger |
| 2025 | ALT | Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. | Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel |
| 2025 | ICLR | Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment. | Aadirupa Saha, Pierre Gaillard |
| 2025 | ICML | Online Episodic Convex Reinforcement Learning. | Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard, Margaux Brgre, Nadia Oudjane |
| 2024 | AISTATS | Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent. | Bianca Marin Moreno, Margaux Brgre, Pierre Gaillard, Nadia Oudjane |
| 2023 | AISTATS | One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. | Pierre Gaillard, Aadirupa Saha, Soham Dan |
| 2023 | ECAI | Strategy Repair in Reachability Games. | Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli |
| 2023 | ICML | Sequential Counterfactual Risk Minimization. | Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard |
| 2022 | AISTATS | Efficient Kernelized UCB for Contextual Bandits. | Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard |
| 2022 | ICML | Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences. | Aadirupa Saha, Pierre Gaillard |
| 2020 | COLT | Efficient improper learning for online logistic regression. | Rmi Jzquel, Pierre Gaillard, Alessandro Rudi |
| 2020 | ICML | Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards. | Aadirupa Saha, Pierre Gaillard, Michal Valko |
| 2019 | ALT | Uniform regret bounds over R | Pierre Gaillard, Sbastien Gerchinovitz, Malo Huard, Gilles Stoltz |
| 2019 | ICML | Target Tracking for Contextual Bandits: Application to Demand Side Management. | Margaux Brgre, Pierre Gaillard, Yannig Goude, Gilles Stoltz |
| 2017 | AISTATS | Sparse Accelerated Exponential Weights. | Pierre Gaillard, Olivier Wintenberger |
| 2017 | COLT | Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning. | Nicol Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sbastien Gerchinovitz |
| 2015 | COLT | A Chaining Algorithm for Online Nonparametric Regression. | Pierre Gaillard, Sbastien Gerchinovitz |
| 2014 | COLT | A second-order bound with excess losses. | Pierre Gaillard, Gilles Stoltz, Tim van Erven |
| 2007 | ESANN | Learning topology of a labeled data set with the supervised generative gaussian graph. | Pierre Gaillard, Michal Aupetit, Grard Govaert |