Evrard Garcelon

According to our database, Evrard Garcelon authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation.

Paul Daoudi, Mathias Formoso, Othman Gaizi, Achraf Azize, Evrard Garcelon

CoRR, 2023

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

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Privacy Amplification via Shuffling for Linear Contextual Bandits.

Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Encrypted Linear Contextual Bandit.

Evrard Garcelon, Matteo Pirotta, Vianney Perchet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Top K Ranking for Multi-Armed Bandit with Noisy Evaluations.

Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Differentially Private Exploration in Reinforcement Learning with Linear Representation.

Paul Luyo, Evrard Garcelon, Alessandro Lazaric, Matteo Pirotta

CoRR, 2021

A Unified Framework for Conservative Exploration.

Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du

CoRR, 2021

Homomorphically Encrypted Linear Contextual Bandit.

Evrard Garcelon, Vianney Perchet, Matteo Pirotta

CoRR, 2021

Local Differential Privacy for Regret Minimization in Reinforcement Learning.

Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Local Differentially Private Regret Minimization in Reinforcement Learning.

Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta

CoRR, 2020

Adversarial Attacks on Linear Contextual Bandits.

Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

No-Regret Exploration in Goal-Oriented Reinforcement Learning.

Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric

Proceedings of the 37th International Conference on Machine Learning, 2020

Conservative Exploration in Reinforcement Learning.

Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Improved Algorithms for Conservative Exploration in Bandits.

Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Bandits with Side Observations: Bounded vs. Logarithmic Regret.

Rémy Degenne, Evrard Garcelon, Vianney Perchet

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018