Articles by Jaouad Mourtada | Synthical

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13

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

5 December 2024 by Hugo Chardon and others

Statistics Theory, Machine Learning

Local Risk Bounds for Statistical Aggregation

29 June 2023 by Jaouad Mourtada and others

Statistics Theory, Information Theory

Universal coding, intrinsic volumes, and metric complexity

13 March 2023 by Jaouad Mourtada

Information Theory, Metric Geometry

An elementary analysis of ridge regression with random design

22 April 2022 by Jaouad Mourtada and Lorenzo Rosasco

Statistics Theory, Machine Learning

Distribution-Free Robust Linear Regression

21 October 2021 by Jaouad Mourtada and others

Statistics Theory, Machine Learning

Asymptotics of Ridge (less) Regression under General Source Condition

21 December 2020 by Dominic Richards and others

Statistics Theory, Machine Learning

Regularized ERM on random subspaces

22 October 2020 by Andrea Della Vecchia and others

Machine Learning

AMF: Aggregated Mondrian Forests for Online Learning

15 May 2020 by Jaouad Mourtada and others

Machine Learning, Statistics Theory

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

14 May 2020 by Jaouad Mourtada and Stéphane Gaïffas

Statistics Theory, Machine Learning

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

27 March 2020 by Jaouad Mourtada

Statistics Theory, Probability

Minimax optimal rates for Mondrian trees and forests

9 April 2019 by Jaouad Mourtada and others

Machine Learning, Statistics Theory

On the optimality of the Hedge algorithm in the stochastic regime

22 December 2018 by Jaouad Mourtada and Stéphane Gaïffas

Machine Learning

Universal consistency and minimax rates for online Mondrian Forests

8 November 2017 by Jaouad Mourtada and others

Machine Learning

Efficient tracking of a growing number of experts

31 August 2017 by Jaouad Mourtada and Odalric-Ambrym Maillard

Machine Learning

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Topics

Machine Learning Statistics Theory Information Theory Metric Geometry Probability