Perrault, Pierre

10 publications

ICLR 2024 Demonstration-Regularized RL Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Menard

ICML 2023 Fast Rates for Maximum Entropy Exploration Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Menard

NeurIPS 2023 Model-Free Posterior Sampling via Learning Rate Randomization Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard

NeurIPS 2022 When Combinatorial Thompson Sampling Meets Approximation Regret Pierre Perrault

ICML 2021 Online A-Optimal Design and Active Linear Regression Xavier Fontaine, Pierre Perrault, Michal Valko, Vianney Perchet

ICML 2020 Budgeted Online Influence Maximization Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko

COLT 2020 Covariance-Adapting Algorithm for Semi-Bandits with Application to Sparse Outcomes Pierre Perrault, Michal Valko, Vianney Perchet

NeurIPS 2020 Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits Pierre Perrault, Etienne Boursier, Michal Valko, Vianney Perchet

ICML 2019 Exploiting Structure of Uncertainty for Efficient Matroid Semi-Bandits Pierre Perrault, Vianney Perchet, Michal Valko

AISTATS 2019 Finding the Bandit in a Graph: Sequential Search-and-Stop Pierre Perrault, Vianney Perchet, Michal Valko