Evrard Garcelon

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 25

Top Topics

Multi Armed Bandits

Differentially Private

Upper Confidence Bound

Exploration Exploitation Tradeoff

Top Venues

Publications

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