| Weighted linear bandits for non-stationary environments Y Russac, C Vernade, O Cappé Advances in Neural Information Processing Systems 32, 2019 | 131 | 2019 |
| Stochastic bandit models for delayed conversions C Vernade, O Cappé, V Perchet arXiv preprint arXiv:1706.09186, 2017 | 108 | 2017 |
| Multiple-play bandits in the position-based model P Lagrée, C Vernade, O Cappe Advances in Neural Information Processing Systems 29, 2016 | 102 | 2016 |
| Linear bandits with stochastic delayed feedback C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner International Conference on Machine Learning, 9712-9721, 2020 | 85* | 2020 |
| Stochastic rank-1 bandits S Katariya, B Kveton, C Szepesvari, C Vernade, Z Wen Artificial Intelligence and Statistics, 392-401, 2017 | 77 | 2017 |
| Stochastic bandits with arm-dependent delays AG Manegueu, C Vernade, A Carpentier, M Valko International Conference on Machine Learning, 3348-3356, 2020 | 56* | 2020 |
| Eigengame: PCA as a nash equilibrium I Gemp, B McWilliams, C Vernade, T Graepel arXiv preprint arXiv:2010.00554, 2020 | 52 | 2020 |
| Confident off-policy evaluation and selection through self-normalized importance weighting I Kuzborskij, C Vernade, A Gyorgy, C Szepesvári International Conference on Artificial Intelligence and Statistics, 640-648, 2021 | 49 | 2021 |
| Bernoulli Rank-1 Bandits for Click Feedback C Szepesvari, B Kveton, S Katariya, C Vernade IJCAI, 2017 | 46* | 2017 |
| Asymptotically optimal information-directed sampling J Kirschner, T Lattimore, C Vernade, C Szepesvári Conference on Learning Theory, 2777-2821, 2021 | 40 | 2021 |
| Solving bernoulli rank-one bandits with unimodal thompson sampling C Trinh, E Kaufmann, C Vernade, R Combes Algorithmic Learning Theory, 862-889, 2020 | 35 | 2020 |
| The elliptical potential lemma revisited A Carpentier, C Vernade, Y Abbasi-Yadkori arXiv preprint arXiv:2010.10182, 2020 | 23 | 2020 |
| Non-stationary delayed bandits with intermediate observations C Vernade, A Gyorgy, T Mann International Conference on Machine Learning, 9722-9732, 2020 | 20 | 2020 |
| Sparse stochastic bandits J Kwon, V Perchet, C Vernade arXiv preprint arXiv:1706.01383, 2017 | 17 | 2017 |
| Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond M Achab, S Clémençon, A Garivier, A Sabourin, C Vernade Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 16 | 2017 |
| Eigengame unloaded: When playing games is better than optimizing I Gemp, B McWilliams, C Vernade, T Graepel arXiv preprint arXiv:2102.04152, 2021 | 10 | 2021 |
| Beyond average return in markov decision processes A Marthe, A Garivier, C Vernade Advances in Neural Information Processing Systems 36, 2024 | 7* | 2024 |
| Non-stationary bandits and meta-learning with a small set of optimal arms MJ Azizi, T Duong, Y Abbasi-Yadkori, A György, C Vernade, ... arXiv preprint arXiv:2202.13001, 2022 | 6 | 2022 |
| Learning from missing data using selection bias in movie recommendation C Vernade, O Cappé 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 5 | 2015 |
| Multivariate digital campaign content exploration utilizing rank-1 best-arm identification B Kveton, Z Wen, YA Yadkori, M Ghavamzadeh, C Vernade US Patent 11,551,256, 2023 | 2* | 2023 |
Olivier CappéCNRSVerified email at cnrs.fr
