Garcelon, Evrard

10 publications

AISTATS 2022 Encrypted Linear Contextual Bandit Evrard Garcelon, Matteo Pirotta, Vianney Perchet

AISTATS 2022 Top K Ranking for Multi-Armed Bandit with Noisy Evaluations Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta

ICLR 2022 A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du

ALT 2022 Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta

NeurIPS 2021 Local Differential Privacy for Regret Minimization in Reinforcement Learning Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta

NeurIPS 2020 Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

AISTATS 2020 Conservative Exploration in Reinforcement Learning Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

AAAI 2020 Improved Algorithms for Conservative Exploration in Bandits Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

ICML 2020 No-Regret Exploration in Goal-Oriented Reinforcement Learning Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric

UAI 2018 Bandits with Side Observations: Bounded vs. Logarithmic Regret Rémy Degenne, Evrard Garcelon, Vianney Perchet