Jaouad Mourtada

Orcid: 0000-0002-7830-9783

According to our database1, Jaouad Mourtada authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Universal coding, intrinsic volumes, and metric complexity.
CoRR, 2023

Local Risk Bounds for Statistical Aggregation.
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.
J. Mach. Learn. Res., 2022

An elementary analysis of ridge regression with random design.
CoRR, 2022

2021
Distribution-Free Robust Linear Regression.
CoRR, 2021

Regularized ERM on random subspaces.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Asymptotics of Ridge(less) Regression under General Source Condition.
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).
PhD thesis, 2020

2019
On the optimality of the Hedge algorithm in the stochastic regime.
J. Mach. Learn. Res., 2019

AMF: Aggregated Mondrian Forests for Online Learning.
CoRR, 2019

2018
Anytime Hedge achieves optimal regret in the stochastic regime.
CoRR, 2018

2017
Universal consistency and minimax rates for online Mondrian Forests.
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.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017


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