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Evrard Garcelon
Evrard Garcelon
Facebook AI Research
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Title
Cited by
Cited by
Year
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
312020
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
302019
Conservative exploration in reinforcement learning
E Garcelon, M Ghavamzadeh, A Lazaric, M Pirotta
International Conference on Artificial Intelligence and Statistics 2020 …, 2020
202020
Improved Algorithms for Conservative Exploration in Bandits
E Garcelon, M Ghavamzadeh, A Lazaric, M Pirotta
AAAI2020, 2020
182020
Local differentially private regret minimization in reinforcement learning
E Garcelon, V Perchet, C Pike-Burke, M Pirotta
NeurIPS2021, 2020
122020
Bandits with side observations: Bounded vs. logarithmic regret
R Degenne, E Garcelon, V Perchet
Uncertainty in Artificial Intelligence 2018 (UAI2018), 2018
82018
Privacy Amplification via Shuffling for Linear Contextual Bandits
E Garcelon, K Chaudhuri, V Perchet, M Pirotta
ALT 2022, 2021
62021
Differentially private exploration in reinforcement learning with linear representation
P Luyo, E Garcelon, A Lazaric, M Pirotta
arXiv preprint arXiv:2112.01585, 2021
32021
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
3*2021
Encrypted linear contextual bandit
E Garcelon, M Pirotta, V Perchet
International Conference on Artificial Intelligence and Statistics, 2519-2551, 2022
2*2022
Top Ranking for Multi-Armed Bandit with Noisy Evaluations
E Garcelon, V Avadhanula, A Lazaric, M Pirotta
AISTATS 2022, 2021
22021
Bridging The Gap between Local and Joint Differential Privacy in RL
E Garcelon, V Perchet, C Pike-Burke, M Pirotta
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Articles 1–12