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Jaouad Mourtada
Jaouad Mourtada
Assistant professor, ENSAE, CREST
Bestätigte E-Mail-Adresse bei ensae.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
722021
Minimax optimal rates for Mondrian trees and forests
J Mourtada, S Gaïffas, E Scornet
472020
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
472019
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
462022
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
282022
Efficient tracking of a growing number of experts
J Mourtada, OA Maillard
International Conference on Algorithmic Learning Theory 76, 517--539, 2017
262017
Distribution-free robust linear regression
J Mourtada, T Vaškevicius, N Zhivotovskiy
Mathematical Statistics and Learning, 2021
232021
Universal consistency and minimax rates for online mondrian forests
J Mourtada, S Gaïffas, E Scornet
Advances in neural information processing systems 30, 2017
202017
AMF: Aggregated Mondrian forests for online learning
J Mourtada, S Gaïffas, E Scornet
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021
162021
An elementary analysis of ridge regression with random design
J Mourtada, L Rosasco
Comptes Rendus. Mathématique 360 (G9), 1055-1063, 2022
102022
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
92021
Local risk bounds for statistical aggregation
J Mourtada, T Vaškevičius, N Zhivotovskiy
The Thirty Sixth Annual Conference on Learning Theory, 5697-5698, 2023
22023
Universal coding, intrinsic volumes, and metric complexity
J Mourtada
arXiv preprint arXiv:2303.07279, 2023
12023
Contributions à l'apprentissage statistique: estimation de densité, agrégation d'experts et forêts aléatoires
J Mourtada
Institut polytechnique de Paris, 2020
12020
Prédiction séquentielle par agrégation d’experts
J Mourtada
Master dissertation, 2016
12016
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