Evrard Garcelon

25 papers A* 6A 4B 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation. CoRR Paul Daoudi, Mathias Formoso, Othman Gaizi, Achraf Azize, Evrard Garcelon
2023	J	`jnl`	SALSA PICANTE: a machine learning attack on LWE with binary secrets. CoRR Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
2023	J	`jnl`	SALSA PICANTE: a machine learning attack on LWE with binary secrets. IACR Cryptol. ePrint Arch. Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
2023	A*	`conf`	SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets. CCS Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
2022	A*	`conf`	A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. ICLR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du
2022	A	`conf`	Encrypted Linear Contextual Bandit. AISTATS Evrard Garcelon, Matteo Pirotta, Vianney Perchet
2022	B	`conf`	Privacy Amplification via Shuffling for Linear Contextual Bandits. ALT Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta
2022	A	`conf`	Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. AISTATS Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
2021	J	`jnl`	A Unified Framework for Conservative Exploration. CoRR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du
2021	J	`jnl`	Differentially Private Exploration in Reinforcement Learning with Linear Representation. CoRR Paul Luyo, Evrard Garcelon, Alessandro Lazaric, Matteo Pirotta
2021	J	`jnl`	Homomorphically Encrypted Linear Contextual Bandit. CoRR Evrard Garcelon, Vianney Perchet, Matteo Pirotta
2021	A*	`conf`	Local Differential Privacy for Regret Minimization in Reinforcement Learning. NeurIPS Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2021	J	`jnl`	Privacy Amplification via Shuffling for Linear Contextual Bandits. CoRR Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta
2021	J	`jnl`	Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. CoRR Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
2020	A*	`conf`	Adversarial Attacks on Linear Contextual Bandits. NeurIPS Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Adversarial Attacks on Linear Contextual Bandits. CoRR Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	A	`conf`	Conservative Exploration in Reinforcement Learning. AISTATS Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Conservative Exploration in Reinforcement Learning. CoRR Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	A*	`conf`	Improved Algorithms for Conservative Exploration in Bandits. AAAI Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Improved Algorithms for Conservative Exploration in Bandits. CoRR Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Local Differentially Private Regret Minimization in Reinforcement Learning. CoRR Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2020	A*	`conf`	No-Regret Exploration in Goal-Oriented Reinforcement Learning. ICML Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
2019	J	`jnl`	No-Regret Exploration in Goal-Oriented Reinforcement Learning. CoRR Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
2018	A	`conf`	Bandits with Side Observations: Bounded vs. Logarithmic Regret. UAI Rémy Degenne, Evrard Garcelon, Vianney Perchet
2018	J	`jnl`	Bandits with Side Observations: Bounded vs. Logarithmic Regret. CoRR Rémy Degenne, Evrard Garcelon, Vianney Perchet