| Weighted linear bandits for non-stationary environments Y Russac, C Vernade, O Cappé NeurIPS 2019, 2019 | 100 | 2019 |
| Algorithms for non-stationary generalized linear bandits Y Russac, O Cappé, A Garivier arXiv preprint arXiv:2003.10113, 2020 | 20 | 2020 |
| Embeddings of categorical variables for sequential data in fraud context Y Russac, O Caelen, L He-Guelton AMLTA 2018, 2018 | 19 | 2018 |
| A/B/n Testing with Control in the Presence of Subpopulations Y Russac, C Katsimerou, D Bohle, O Cappé, A Garivier, W Koolen NeurIPS 2021, 2021 | 15 | 2021 |
| Regret bounds for generalized linear bandits under parameter drift L Faury, Y Russac, M Abeille, C Calauzènes arXiv preprint arXiv:2103.05750, 2021 | 10 | 2021 |
| Self-Concordant Analysis of Generalized Linear Bandits with Forgetting Y Russac, L Faury, O Cappé, A Garivier AISTATS 2021, 2021 | 10 | 2021 |
| On Limited-Memory Subsampling Strategies for Bandits D Baudry, Y Russac, O Cappé ICML 2021, 2021 | 10 | 2021 |
| 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 | 3 | 2021 |
| Efficient Algorithms for Extreme Bandits D Baudry, Y Russac, E Kaufmann AISTATS 2022, 2022 | 1 | 2022 |
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