Finding the bandit in a graph: Sequential search-and-stop. - Pierre Perrault; Vianney Perchet; Michal Valko (AISTATS, 2019)

Exploiting structure of uncertainty for efficient matroid semi-bandits. - Pierre Perrault; Vianney Perchet; Michal Valko (ICML, 2019)

Exploiting Structure of Uncertainty for Efficient Combinatorial Semi-Bandits. - Pierre Perrault; Vianney Perchet; Michal Valko (CoRR, 2019)

Active Linear Regression. - Xavier Fontaine; Pierre Perrault; Vianney Perchet (CoRR, 2019)

Covariance-adapting algorithm for semi-bandits with application to sparse outcomes. - Pierre Perrault; Michal Valko; Vianney Perchet (COLT, 2020)

Budgeted Online Influence Maximization. - Pierre Perrault; Jennifer Healey; Zheng Wen; Michal Valko (ICML, 2020)

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

Efficient Learning in Stochastic Combinatorial Semi-Bandits. (Apprentissage Efficient dans les Problèmes de Semi-Bandits Stochastiques Combinatoires). - Pierre Perrault (2020)

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

On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. - Pierre Perrault; Jennifer Healey; Zheng Wen; Michal Valko (CoRR, 2021)

When Combinatorial Thompson Sampling meets Approximation Regret. - Pierre Perrault (NeurIPS, 2022)

Fast Rates for Maximum Entropy Exploration. - Daniil Tiapkin; Denis Belomestny; Daniele Calandriello; Eric Moulines; Rémi Munos; Alexey Naumov; Pierre Perrault; Yunhao Tang; Michal Valko; Pierre Ménard (ICML, 2023)

Model-free Posterior Sampling via Learning Rate Randomization. - Daniil Tiapkin; Denis Belomestny; Daniele Calandriello; Eric Moulines; Rémi Munos; Alexey Naumov; Pierre Perrault; Michal Valko; Pierre Ménard (NeurIPS, 2023)

Demonstration-Regularized RL. - Daniil Tiapkin; Denis Belomestny; Daniele Calandriello; Eric Moulines; Alexey Naumov; Pierre Perrault; Michal Valko; Pierre Ménard (ICLR, 2024)

Limitations of (Procrustes) Alignment in Assessing Multi-Person Human Pose and Shape Estimation. - Drazic Martin; Pierre Perrault (CoRR, 2024)

A New Bound on the Cumulant Generating Function of Dirichlet Processes. - Pierre Perrault; Denis Belomestny; Pierre Ménard; Éric Moulines; Alexey Naumov; Daniil Tiapkin; Michal Valko (CoRR, 2024)