Jaouad Mourtada

21 papers A* 1A 2B 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ratio Covers of Convex Sets and Optimal Mixture Density Estimation.
CoRR
Spencer Compton, Gábor Lugosi, Jaouad Mourtada, Jian Qian, Nikita Zhivotovskiy
2025 J jnl
Estimation of discrete distributions in relative entropy, and the deviations of the missing mass.
CoRR
Jaouad Mourtada
2024 J jnl
Finite-sample performance of the maximum likelihood estimator in logistic regression.
CoRR
Hugo Chardon, Matthieu Lerasle, Jaouad Mourtada
2024 J jnl
The Nyström method for convex loss functions.
J. Mach. Learn. Res.
Andrea Della Vecchia, Ernesto De Vito, Jaouad Mourtada, Lorenzo Rosasco
2023 A* conf
Local Risk Bounds for Statistical Aggregation.
COLT
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
2023 J jnl
Local Risk Bounds for Statistical Aggregation.
CoRR
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
2023 J jnl
Universal coding, intrinsic volumes, and metric complexity.
CoRR
Jaouad Mourtada
2022 J jnl
An elementary analysis of ridge regression with random design.
CoRR
Jaouad Mourtada, Lorenzo Rosasco
2022 J jnl
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression.
J. Mach. Learn. Res.
Jaouad Mourtada, Stéphane Gaïffas
2021 A conf
Asymptotics of Ridge(less) Regression under General Source Condition.
AISTATS
Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco
2021 J jnl
Distribution-Free Robust Linear Regression.
CoRR
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
2021 A conf
Regularized ERM on random subspaces.
AISTATS
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
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
2020 J jnl
Regularized ERM on random subspaces.
CoRR
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
2019 J jnl
AMF: Aggregated Mondrian Forests for Online Learning.
CoRR
Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet
2019 J jnl
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression.
CoRR
Jaouad Mourtada, Stéphane Gaïffas
2019 J jnl
On the optimality of the Hedge algorithm in the stochastic regime.
J. Mach. Learn. Res.
Jaouad Mourtada, Stéphane Gaïffas
2018 J jnl
Anytime Hedge achieves optimal regret in the stochastic regime.
CoRR
Jaouad Mourtada, Stéphane Gaïffas
2017 B conf
Efficient tracking of a growing number of experts.
ALT
Jaouad Mourtada, Odalric-Ambrym Maillard
2017 J jnl
Efficient tracking of a growing number of experts.
CoRR
Jaouad Mourtada, Odalric-Ambrym Maillard
2017 — conf
Universal consistency and minimax rates for online Mondrian Forests.
NIPS
Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet