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

Improved Algorithms for Conservative Exploration in Bandits. - Evrard Garcelon; Mohammad Ghavamzadeh; Alessandro Lazaric; Matteo Pirotta (AAAI, 2020)

Conservative Exploration in Reinforcement Learning. - Evrard Garcelon; Mohammad Ghavamzadeh; Alessandro Lazaric; Matteo Pirotta (AISTATS, 2020)

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

Adversarial Attacks on Linear Contextual Bandits. - Evrard Garcelon; Baptiste Rozière; Laurent Meunier; Jean Tarbouriech; Olivier Teytaud; Alessandro Lazaric; Matteo Pirotta (NeurIPS, 2020)

Local Differentially Private Regret Minimization in Reinforcement Learning. - Evrard Garcelon; Vianney Perchet; Ciara Pike-Burke; Matteo Pirotta (CoRR, 2020)

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

Homomorphically Encrypted Linear Contextual Bandit. - Evrard Garcelon; Vianney Perchet; Matteo Pirotta (CoRR, 2021)

A Unified Framework for Conservative Exploration. - Yunchang Yang; Tianhao Wu 002; Han Zhong 001; Evrard Garcelon; Matteo Pirotta; Alessandro Lazaric; Liwei Wang 001; Simon S. Du (CoRR, 2021)

Differentially Private Exploration in Reinforcement Learning with Linear Representation. - Paul Luyo; Evrard Garcelon; Alessandro Lazaric; Matteo Pirotta (CoRR, 2021)

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

Encrypted Linear Contextual Bandit. - Evrard Garcelon; Matteo Pirotta; Vianney Perchet (AISTATS, 2022)

Privacy Amplification via Shuffling for Linear Contextual Bandits. - Evrard Garcelon; Kamalika Chaudhuri; Vianney Perchet; Matteo Pirotta (ALT, 2022)

A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. - Yunchang Yang; Tianhao Wu 002; Han Zhong 001; Evrard Garcelon; Matteo Pirotta; Alessandro Lazaric; Liwei Wang 001; Simon Shaolei Du (ICLR, 2022)

SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets. - Cathy Yuanchen Li; Jana Sotáková; Emily Wenger; Mohamed Malhou; Evrard Garcelon; François Charton; Kristin E. Lauter (CCS, 2023)

Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation. - Paul Daoudi; Mathias Formoso; Othman Gaizi; Achraf Azize; Evrard Garcelon (CoRR, 2023)

SALSA PICANTE: a machine learning attack on LWE with binary secrets. - Cathy Yuanchen Li; Jana Sotáková; Emily Wenger; Mohamed Malhou; Evrard Garcelon; François Charton; Kristin E. Lauter (IACR Cryptol. ePrint Arch., 2023)