Feraud, Raphael

11 publications

IJCAI 2021 Toward Optimal Solution for the Context-Attentive Bandit Problem Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni

ACML 2020 Collaborative Exploration in Stochastic Multi-Player Bandits Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé

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

ICML 2019 Decentralized Exploration in Multi-Armed Bandits Raphael Feraud, Reda Alami, Romain Laroche

ICLR 2018 Reinforcement Learning Algorithm Selection Romain Laroche, Raphael Feraud

IJCAI 2017 Context Attentive Bandits: Contextual Bandit with Restricted Context Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud

AISTATS 2016 Random Forest for the Contextual Bandit Problem Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot

MLJ 2013 Exploration and Exploitation of Scratch Games Raphaël Féraud, Tanguy Urvoy

ICML 2013 Generic Exploration and K-Armed Voting Bandits Tanguy Urvoy, Fabrice Clerot, Raphael Féraud, Sami Naamane

ACML 2012 A Stochastic Bandit Algorithm for Scratch Games Raphaël Féraud, Tanguy Urvoy

NeurIPS 1997 Ensemble and Modular Approaches for Face Detection: A Comparison Raphaël Feraud, Olivier Bernier