| Statistical guarantees for generative models without domination N Schreuder, VE Brunel, A Dalalyan Algorithmic Learning Theory, 1051-1071, 2021 | 38 | 2021 |
| A minimax framework for quantifying risk-fairness trade-off in regression E Chzhen, N Schreuder The Annals of Statistics 50 (4), 2416-2442, 2022 | 29 | 2022 |
| Classification with abstention but without disparities N Schreuder, E Chzhen Uncertainty in Artificial Intelligence, 1227-1236, 2021 | 23 | 2021 |
| Nyström Kernel Mean Embeddings A Chatalic, N Schreuder, A Rudi, L Rosasco arXiv preprint arXiv:2201.13055, 2022 | 22 | 2022 |
| Bounding the expectation of the supremum of empirical processes indexed by Hölder classes N Schreuder Mathematical Methods of Statistics 29 (1), 76-86, 2020 | 12 | 2020 |
| Fair learning with Wasserstein barycenters for non-decomposable performance measures S Gaucher, N Schreuder, E Chzhen International Conference on Artificial Intelligence and Statistics, 2436-2459, 2023 | 8 | 2023 |
| A nonasymptotic law of iterated logarithm for general M-estimators N Schreuder, VE Brunel, A Dalalyan International Conference on Artificial Intelligence and Statistics, 1331-1341, 2020 | 6* | 2020 |
| An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression E Chzhen, N Schreuder NeurIPS 2020 Workshop on Algorithmic Fairness through the Lens of Causality …, 2020 | 4 | 2020 |
| Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling A Chatalic, N Schreuder, E De Vito, L Rosasco arXiv preprint arXiv:2311.13548, 2023 | | 2023 |
| Quel rôle pour les mathématiques dans le traitement des problèmes d’équité en IA? E CHZHEN, C DENIS, M HEBIRI, N SCHREUDER, G TATURYAN Association française pour l’Intelligence Artificielle, 2023 | | 2023 |
| Addressing bias in online selection with limited budget of comparisons Z Benomar, E Chzhen, N Schreuder, V Perchet arXiv preprint arXiv:2303.09205, 2023 | | 2023 |
| A study of some trade-offs in statistical learning: online learning, generative models and fairness N Schreuder Institut polytechnique de Paris, 2021 | | 2021 |
Evgenii ChzhenCNRS, Université Paris-SaclayAdresse e-mail validée de cnrs.fr
