| Linear thompson sampling revisited M Abeille, A Lazaric Artificial Intelligence and Statistics, 176-184, 2017 | 206 | 2017 |
| Improved regret bounds for thompson sampling in linear quadratic control problems M Abeille, A Lazaric International Conference on Machine Learning, 1-9, 2018 | 94 | 2018 |
| Thompson sampling for linear-quadratic control problems M Abeille, A Lazaric Artificial Intelligence and Statistics, 1246-1254, 2017 | 58 | 2017 |
| Improved optimistic algorithms for logistic bandits L Faury, M Abeille, C Calauzènes, O Fercoq International Conference on Machine Learning, 3052-3060, 2020 | 43 | 2020 |
| Efficient optimistic exploration in linear-quadratic regulators via lagrangian relaxation M Abeille, A Lazaric International Conference on Machine Learning, 23-31, 2020 | 30 | 2020 |
| Thompson sampling in non-episodic restless bandits YH Jung, M Abeille, A Tewari arXiv preprint arXiv:1910.05654, 2019 | 17 | 2019 |
| Instance-wise minimax-optimal algorithms for logistic bandits M Abeille, L Faury, C Calauzènes International Conference on Artificial Intelligence and Statistics, 3691-3699, 2021 | 16 | 2021 |
| LQG for portfolio optimization M Abeille, A Lazaric, X Brokmann arXiv preprint arXiv:1611.00997, 2016 | 16 | 2016 |
| Explicit shading strategies for repeated truthful auctions M Abeille, C Calauzènes, NE Karoui, T Nedelec, V Perchet arXiv preprint arXiv:1805.00256, 2018 | 9 | 2018 |
| Regret bounds for generalized linear bandits under parameter drift L Faury, Y Russac, M Abeille, C Calauzènes arXiv preprint arXiv:2103.05750, 2021 | 7 | 2021 |
| Real-time optimisation for online learning in auctions L Croissant, M Abeille, C Calauzènes International Conference on Machine Learning, 2217-2226, 2020 | 5 | 2020 |
| Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems T Nedelec, M Abeille, C Calauzènes, N El Karoui, B Heymann, V Perchet arXiv preprint arXiv:1808.06979, 2018 | 5 | 2018 |
| Jointly Efficient and Optimal Algorithms for Logistic Bandits L Faury, M Abeille, KS Jun, C Calauzènes International Conference on Artificial Intelligence and Statistics, 546-580, 2022 | 2 | 2022 |
| A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions L Faury, Y Russac, M Abeille, C Calauzènes Algorithmic Learning Theory, 619-626, 2021 | 2 | 2021 |
| Diffusive limit approximation of pure-jump optimal stochastic control problems M Abeille, B Bouchard, L Croissant Journal of Optimization Theory and Applications 196 (1), 147-176, 2023 | 1 | 2023 |
| Thresholding at the monopoly price: an agnostic way to improve bidding strategies in revenue-maximizing auctions T Nedelec, M Abeille, C Calauzènes, B Heymann, V Perchet, NE Karoui arXiv preprint arXiv:1808.06979, 2018 | 1 | 2018 |
| Diffusive limit approximation of pure jump optimal ergodic control problems M Abeille, B Bouchard, L Croissant arXiv preprint arXiv:2209.15284, 2022 | | 2022 |
| Optimal Regret Bounds for Generalized Linear Bandits under Parameter Drift L Faury, Y Russac, M Abeille, C Calauzènes Proceedings of Machine Learning Research vol 132, 1-37, 2021 | | 2021 |
| Thompson Sampling pour l’exploration-exploitation dans les systèmes linéaires M Abeille | | 2017 |
| Exploration-Exploitation with Thompson Sampling in Linear Systems M Abeille Université de Lille 1, 2017 | | 2017 |
