Pierre Perrault

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Linear Regression

Multi Armed Bandit

Maximum Entropy

Top Venues

Publications

Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Demonstration-Regularized RL. ICLR (2024)
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Demonstration-Regularized RL. CoRR (2023)
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Ménard
Fast Rates for Maximum Entropy Exploration. CoRR (2023)
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Model-free Posterior Sampling via Learning Rate Randomization. CoRR (2023)
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Ménard
Fast Rates for Maximum Entropy Exploration. ICML (2023)
Pierre Perrault
When Combinatorial Thompson Sampling meets Approximation Regret. CoRR (2023)
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Model-free Posterior Sampling via Learning Rate Randomization. NeurIPS (2023)
Pierre Perrault
When Combinatorial Thompson Sampling meets Approximation Regret. NeurIPS (2022)
Xavier Fontaine, Pierre Perrault, Michal Valko, Vianney Perchet
Online A-Optimal Design and Active Linear Regression. ICML (2021)
Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. CoRR (2021)
Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
Budgeted Online Influence Maximization. ICML (2020)
Pierre Perrault, Etienne Boursier, Michal Valko, Vianney Perchet
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits. NeurIPS (2020)
Pierre Perrault, Michal Valko, Vianney Perchet
Covariance-adapting algorithm for semi-bandits with application to sparse outcomes. COLT (2020)
Pierre Perrault, Etienne Boursier, Vianney Perchet, Michal Valko
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits. CoRR (2020)
Pierre Perrault, Vianney Perchet, Michal Valko
Exploiting Structure of Uncertainty for Efficient Combinatorial Semi-Bandits. CoRR (2019)
Pierre Perrault, Vianney Perchet, Michal Valko
Exploiting structure of uncertainty for efficient matroid semi-bandits. ICML (2019)
Pierre Perrault, Vianney Perchet, Michal Valko
Finding the bandit in a graph: Sequential search-and-stop. AISTATS (2019)
Xavier Fontaine, Pierre Perrault, Vianney Perchet
Active Linear Regression. CoRR (2019)
Pierre Perrault, Vianney Perchet, Michal Valko
Finding the Bandit in a Graph: Sequential Search-and-Stop. CoRR (2018)