Optimal thompson sampling strategies for support-aware cvar bandits D Baudry, R Gautron, E Kaufmann, O Maillard International Conference on Machine Learning, 716-726, 2021 | 41 | 2021 |
Top two algorithms revisited M Jourdan, R Degenne, D Baudry, R de Heide, E Kaufmann Advances in Neural Information Processing Systems 35, 26791-26803, 2022 | 40 | 2022 |
Sub-sampling for Efficient Non-Parametric Bandit Exploration D Baudry, E Kaufmann, OA Maillard Advances in Neural Information Processing Systems 34 (NeurIPS 2020), 2020 | 23 | 2020 |
On Limited-Memory Subsampling Strategies for Bandits D Baudry, Y Russac, O Cappé International Conference on Machine Learning, 2021 | 14 | 2021 |
From optimality to robustness: Adaptive re-sampling strategies in stochastic bandits D Baudry, P Saux, OA Maillard Advances in Neural Information Processing Systems 34, 14029-14041, 2021 | 12* | 2021 |
Efficient Algorithms for Extreme Bandits D Baudry, Y Russac, E Kaufmann Proceedings of the 25 th International Conference on Artificial Intelligence …, 2022 | 7 | 2022 |
A general recipe for the analysis of randomized multi-armed bandit algorithms D Baudry, K Suzuki, J Honda arXiv preprint arXiv:2303.06058, 2023 | 3 | 2023 |
A new adaptive identification strategy of best crop management with farmers R Gautron, D Baudry, M Adam, GN Falconnier, G Hoogenboom, B King, ... Field Crops Research 307, 109249, 2024 | 2 | 2024 |
The Value of Reward Lookahead in Reinforcement Learning N Merlis, D Baudry, V Perchet arXiv preprint arXiv:2403.11637, 2024 | 1 | 2024 |
Fast asymptotically optimal algorithms for non-parametric stochastic bandits D Baudry, F Pesquerel, R Degenne, OA Maillard Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Lookback Prophet Inequalities Z Benomar, D Baudry, V Perchet arXiv preprint arXiv:2406.06805, 2024 | | 2024 |
Multi-armed bandits with guaranteed revenue per arm D Baudry, N Merlis, MB Molina, H Richard, V Perchet International Conference on Artificial Intelligence and Statistics, 379-387, 2024 | | 2024 |
Non-parametric algorithms for multi-armed bandits D Baudry Université de Lille, 2022 | | 2022 |
Towards an efficient and risk aware strategy for guiding farmers in identifying best crop management R Gautron, D Baudry, M Adam, GN Falconnier, M Corbeels arXiv preprint arXiv:2210.04537, 2022 | | 2022 |
Non-Parametric Exploration in Multi-Armed Bandits E Kaufmann, D Baudry, OA Maillard | | 2021 |
Risk-Aware Bandits for Best Crop Management D Baudry, R Gautron ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 0 | | |