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Evrard Garcelon
Evrard Garcelon
Facebook AI Research
Dirección de correo verificada de fb.com - Página principal
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Adversarial Attacks on Linear Contextual Bandits
E Garcelon, B Roziere, L Meunier, J Tarbouriech, O Teytaud, A Lazaric, ...
Advances in Neural Information Processing Systems 2020 (NeurIPS2020), 2020
582020
No-Regret Exploration in Goal-Oriented Reinforcement Learning
J Tarbouriech, E Garcelon, M Valko, M Pirotta, A Lazaric
International Conference on Machine Learning 2020 (ICML2020), 2019
422019
Local differentially private regret minimization in reinforcement learning
E Garcelon, V Perchet, C Pike-Burke, M Pirotta
NeurIPS2021, 2020
362020
Conservative exploration in reinforcement learning
E Garcelon, M Ghavamzadeh, A Lazaric, M Pirotta
International Conference on Artificial Intelligence and Statistics 2020 …, 2020
282020
Improved Algorithms for Conservative Exploration in Bandits
E Garcelon, M Ghavamzadeh, A Lazaric, M Pirotta
AAAI2020, 2020
282020
Privacy Amplification via Shuffling for Linear Contextual Bandits
E Garcelon, K Chaudhuri, V Perchet, M Pirotta
ALT 2022, 2021
202021
Bandits with side observations: Bounded vs. logarithmic regret
R Degenne, E Garcelon, V Perchet
Uncertainty in Artificial Intelligence 2018 (UAI2018), 2018
112018
Differentially private exploration in reinforcement learning with linear representation
P Luyo, E Garcelon, A Lazaric, M Pirotta
arXiv preprint arXiv:2112.01585, 2021
92021
SalsaPicante: A machine learning attack on LWE with binary secrets
CY Li, J Sotáková, E Wenger, M Malhou, E Garcelon, F Charton, K Lauter
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
72023
Encrypted linear contextual bandit
E Garcelon, M Pirotta, V Perchet
International Conference on Artificial Intelligence and Statistics, 2519-2551, 2022
6*2022
Top Ranking for Multi-Armed Bandit with Noisy Evaluations
E Garcelon, V Avadhanula, A Lazaric, M Pirotta
AISTATS 2022, 2021
62021
A reduction-based framework for conservative bandits and reinforcement learning
Y Yang, T Wu, H Zhong, E Garcelon, M Pirotta, A Lazaric, L Wang, SS Du
arXiv preprint arXiv:2106.11692, 2021
6*2021
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
P Daoudi, M Formoso, O Gaizi, A Azize, E Garcelon
arXiv preprint arXiv:2312.15458, 2023
2023
Bridging The Gap between Local and Joint Differential Privacy in RL
E Garcelon, V Perchet, C Pike-Burke, M Pirotta
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Artículos 1–14