| Asymptotics of ridge (less) regression under general source condition D Richards, J Mourtada, L Rosasco International Conference on Artificial Intelligence and Statistics, 3889-3897, 2021 | 77 | 2021 |
| Minimax optimal rates for Mondrian trees and forests J Mourtada, S Gaïffas, E Scornet | 48 | 2020 |
| On the optimality of the Hedge algorithm in the stochastic regime J Mourtada, S Gaïffas Journal of Machine Learning Research 20 (83), 1-28, 2019 | 48 | 2019 |
| Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices J Mourtada The Annals of Statistics 50 (4), 2157-2178, 2022 | 47 | 2022 |
| An improper estimator with optimal excess risk in misspecified density estimation and logistic regression J Mourtada, S Gaïffas Journal of Machine Learning Research 23 (31), 1-49, 2022 | 29 | 2022 |
| Efficient tracking of a growing number of experts J Mourtada, OA Maillard International Conference on Algorithmic Learning Theory 76, 517--539, 2017 | 26 | 2017 |
| Distribution-free robust linear regression J Mourtada, T Vaškevicius, N Zhivotovskiy Mathematical Statistics and Learning, 2021 | 24 | 2021 |
| Universal consistency and minimax rates for online mondrian forests J Mourtada, S Gaïffas, E Scornet Advances in neural information processing systems 30, 2017 | 20 | 2017 |
| AMF: Aggregated Mondrian forests for online learning J Mourtada, S Gaïffas, E Scornet Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 16 | 2021 |
| An elementary analysis of ridge regression with random design J Mourtada, L Rosasco Comptes Rendus. Mathématique 360 (G9), 1055-1063, 2022 | 11 | 2022 |
| Regularized ERM on random subspaces A Della Vecchia, J Mourtada, E De Vito, L Rosasco International Conference on Artificial Intelligence and Statistics, 4006-4014, 2021 | 9 | 2021 |
| Local risk bounds for statistical aggregation J Mourtada, T Vaškevičius, N Zhivotovskiy The Thirty Sixth Annual Conference on Learning Theory, 5697-5698, 2023 | 2 | 2023 |
| Universal coding, intrinsic volumes, and metric complexity J Mourtada arXiv preprint arXiv:2303.07279, 2023 | 1 | 2023 |
| Contributions à l'apprentissage statistique: estimation de densité, agrégation d'experts et forêts aléatoires J Mourtada Institut polytechnique de Paris, 2020 | 1 | 2020 |
| Prédiction séquentielle par agrégation d’experts J Mourtada Master dissertation, 2016 | 1 | 2016 |
Erwan ScornetMaître de conférence, Ecole PolytechniqueVerified email at polytechnique.edu
