Jaouad Mourtada

According to our database, Jaouad Mourtada authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Ratio Covers of Convex Sets and Optimal Mixture Density Estimation.

Spencer Compton, Gábor Lugosi, Jaouad Mourtada, Jian Qian, Nikita Zhivotovskiy

CoRR, February, 2026

2025

Estimation of discrete distributions in relative entropy, and the deviations of the missing mass.

Jaouad Mourtada

CoRR, April, 2025

2024

The Nyström method for convex loss functions.

Andrea Della Vecchia, Ernesto De Vito, Jaouad Mourtada, Lorenzo Rosasco

J. Mach. Learn. Res., 2024

Finite-sample performance of the maximum likelihood estimator in logistic regression.

Hugo Chardon, Matthieu Lerasle, Jaouad Mourtada

CoRR, 2024

2023

Universal coding, intrinsic volumes, and metric complexity.

Jaouad Mourtada

CoRR, 2023

Local Risk Bounds for Statistical Aggregation.

Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

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

Jaouad Mourtada, Stéphane Gaïffas

J. Mach. Learn. Res., 2022

An elementary analysis of ridge regression with random design.

Jaouad Mourtada, Lorenzo Rosasco

CoRR, 2022

2021

Distribution-Free Robust Linear Regression.

Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy

CoRR, 2021

Regularized ERM on random subspaces.

Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Asymptotics of Ridge(less) Regression under General Source Condition.

Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

PhD thesis, 2020

2019

On the optimality of the Hedge algorithm in the stochastic regime.

Jaouad Mourtada, Stéphane Gaïffas

J. Mach. Learn. Res., 2019

AMF: Aggregated Mondrian Forests for Online Learning.

Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet

CoRR, 2019

2018

Anytime Hedge achieves optimal regret in the stochastic regime.

Jaouad Mourtada, Stéphane Gaïffas

CoRR, 2018

2017

Universal consistency and minimax rates for online Mondrian Forests.

Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient tracking of a growing number of experts.

Jaouad Mourtada, Odalric-Ambrym Maillard

Proceedings of the International Conference on Algorithmic Learning Theory, 2017