Maillard, Odalric

12 publications

AAAI 2023 Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning Reda Ouhamma, Debabrota Basu, Odalric Maillard

COLT 2023 Bregman Deviations of Generic Exponential Families Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan

AISTATS 2023 Risk-Aware Linear Bandits with Convex Loss Patrick Saux, Odalric Maillard

AISTATS 2021 Improved Exploration in Factored Average-Reward MDPs Mohammad Sadegh Talebi, Anders Jonsson, Odalric Maillard

ICML 2021 Optimal Thompson Sampling Strategies for Support-Aware CVaR Bandits Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric Maillard

ICML 2020 Restarted Bayesian Online Change-Point Detector Achieves Optimal Detection Delay Reda Alami, Odalric Maillard, Raphael Feraud

ICML 2020 Tightening Exploration in Upper Confidence Reinforcement Learning Hippolyte Bourel, Odalric Maillard, Mohammad Sadegh Talebi

ICMLW 2019 Distribution-Dependent and Time-Uniform Bounds for Piecewise I.i.d Bandits Subhojyoti Mukherjee, Odalric Maillard

ICML 2016 Pliable Rejection Sampling Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric Maillard

NeurIPS 2010 LSTD with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric Maillard, Rémi Munos

NeurIPS 2010 Scrambled Objects for Least-Squares Regression Odalric Maillard, Rémi Munos

NeurIPS 2009 Compressed Least-Squares Regression Odalric Maillard, Rémi Munos