| 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 | 63 | 2020 |
| Local differentially private regret minimization in reinforcement learning E Garcelon, V Perchet, C Pike-Burke, M Pirotta NeurIPS2021, 2020 | 49 | 2020 |
| 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 | 47 | 2019 |
| Conservative exploration in reinforcement learning E Garcelon, M Ghavamzadeh, A Lazaric, M Pirotta International Conference on Artificial Intelligence and Statistics 2020 …, 2020 | 31 | 2020 |
| Improved Algorithms for Conservative Exploration in Bandits E Garcelon, M Ghavamzadeh, A Lazaric, M Pirotta AAAI2020, 2020 | 29 | 2020 |
| Privacy Amplification via Shuffling for Linear Contextual Bandits E Garcelon, K Chaudhuri, V Perchet, M Pirotta ALT 2022, 2021 | 24 | 2021 |
| 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 | 12 | 2023 |
| Bandits with side observations: Bounded vs. logarithmic regret R Degenne, E Garcelon, V Perchet Uncertainty in Artificial Intelligence 2018 (UAI2018), 2018 | 12 | 2018 |
| Differentially private exploration in reinforcement learning with linear representation P Luyo, E Garcelon, A Lazaric, M Pirotta arXiv preprint arXiv:2112.01585, 2021 | 10 | 2021 |
| Top Ranking for Multi-Armed Bandit with Noisy Evaluations E Garcelon, V Avadhanula, A Lazaric, M Pirotta AISTATS 2022, 2021 | 7 | 2021 |
| 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 | 7* | 2021 |
| Encrypted linear contextual bandit E Garcelon, M Pirotta, V Perchet International Conference on Artificial Intelligence and Statistics, 2519-2551, 2022 | 6* | 2022 |
| 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 | | |
Matteo PirottaResearch Scientist, Meta (FAIR)Verified email at fb.com
