Jaouad Mourtada

Efficient tracking of a growing number of experts

Odalric-Ambrym Maillard, Jaouad Mourtada, Odalric-Ambrym Maillard, 2017, ALT.

Universal consistency and minimax rates for online Mondrian Forests

Stéphane Gaïffas, Erwan Scornet, Jaouad Mourtada, 2017, NIPS.

AMF: Aggregated Mondrian forests for online learning pdf

Stéphane Gaïffas, Erwan Scornet, Jaouad Mourtada, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

An improper estimator with optimal excess risk in misspecified density estimation and logistic regression pdf

Stéphane Gaïffas, Jaouad Mourtada, 2019, ArXiv.

Contributions à l'apprentissage statistique : estimation de densité, agrégation d'experts et forêts aléatoires. (Contributions to statistical learning : density estimation, expert aggregation and random forests)

Jaouad Mourtada, Jaouad Mourtada, 2020 .

Regularized ERM on random subspaces pdf

Lorenzo Rosasco, Andrea Della Vecchia, Ernesto De Vito, 2020, ArXiv.

On the optimality of the Hedge algorithm in the stochastic regime

Stéphane Gaïffas, Jaouad Mourtada, Jaouad Mourtada, 2018, J. Mach. Learn. Res..

Anytime Hedge achieves optimal regret in the stochastic regime pdf

Stéphane Gaïffas, Jaouad Mourtada, Jaouad Mourtada, 2018, ArXiv.

Distribution-Free Robust Linear Regression pdf

Nikita Zhivotovskiy, Tomas Vaskevicius, Jaouad Mourtada, 2021, Mathematical Statistics and Learning.

Asymptotics of Ridge(less) Regression under General Source Condition

Lorenzo Rosasco, Dominic Richards, Jaouad Mourtada, 2020, AISTATS.

Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices

Jaouad Mourtada, 2019 .