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Jaouad Mourtada
Jaouad Mourtada
Assistant professor, ENSAE, CREST
Verified email at ensae.fr - Homepage
Title
Cited by
Cited by
Year
Minimax optimal rates for Mondrian trees and forests
J Mourtada, S Gaïffas, E Scornet
The Annals of Statistics 48 (4), 2253-2276, 2020
342020
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
342019
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
322021
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
252022
Universal consistency and minimax rates for online mondrian forests
J Mourtada, S Gaïffas, E Scornet
Advances in neural information processing systems 30, 2017
202017
Efficient tracking of a growing number of experts
J Mourtada, OA Maillard
International Conference on Algorithmic Learning Theory 76, 517--539, 2017
182017
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
152022
Distribution-free robust linear regression
J Mourtada, T Vaškevicius, N Zhivotovskiy
Mathematical Statistics and Learning, 2021
122021
AMF: Aggregated Mondrian forests for online learning
J Mourtada, S Gaïffas, E Scornet
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2021
82021
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
32021
An elementary analysis of ridge regression with random design
J Mourtada, L Rosasco
arXiv preprint arXiv:2203.08564, 2022
2022
Contributions à l'apprentissage statistique: estimation de densité, agrégation d'experts et forêts aléatoires
J Mourtada
Institut polytechnique de Paris, 2020
2020
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