Jaouad Mourtada
Jaouad Mourtada
Assistant professor, ENSAE, CREST
Bestätigte E-Mail-Adresse bei ensae.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
172019
Minimax optimal rates for Mondrian trees and forests
J Mourtada, S Gaïffas, E Scornet
The Annals of Statistics 48 (4), 2253-2276, 2020
162020
Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices
J Mourtada
arXiv preprint arXiv:1912.10754, 2019
162019
Efficient tracking of a growing number of experts
J Mourtada, OA Maillard
International Conference on Algorithmic Learning Theory 76, 517--539, 2017
162017
Universal consistency and minimax rates for online mondrian forests
J Mourtada, S Gaïffas, E Scornet
Advances in neural information processing systems, 3758-3767, 2017
142017
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
122021
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression
J Mourtada, S Gaïffas
arXiv preprint arXiv:1912.10784, 2019
52019
AMF: Aggregated Mondrian forests for online learning
J Mourtada, S Gaïffas, E Scornet
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2021
32021
Distribution-Free Robust Linear Regression
J Mourtada, T Vaškevičius, N Zhivotovskiy
arXiv preprint arXiv:2102.12919, 2021
22021
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
2021
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