Personal profile
Research interests
Engineering and Technology
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Dive into the research topics where Jaouad Mourtada is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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The Nyström method for convex loss functions
Vecchia, A. D., De Vito, E., Mourtada, J. & Rosasco, L., 1 Jan 2024, In: Journal of Machine Learning Research. 25Research output: Contribution to journal › Article › peer-review
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Local Risk Bounds for Statistical Aggregation
Mourtada, J., Vaškevičius, T. & Zhivotovskiy, N., 1 Jan 2023, In: Proceedings of Machine Learning Research. 195, p. 5697-5698 2 p.Research output: Contribution to journal › Conference article › peer-review
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An elementary analysis of ridge regression with random design
Mourtada, J. & Rosasco, L., 1 Jan 2022, In: Comptes Rendus Mathematique. 360, p. 1055-1063 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression
Mourtada, J. & Gaïffas, S., 1 Jan 2022, In: Journal of Machine Learning Research. 23Research output: Contribution to journal › Article › peer-review
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EXACT MINIMAX RISK for LINEAR LEAST SQUARES, and the LOWER TAIL of SAMPLE COVARIANCE MATRICES
Mourtada, J., 1 Aug 2022, In: Annals of Statistics. 50, 4, p. 2157-2178 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
AMF: Aggregated Mondrian forests for online learning
Mourtada, J., Gaïffas, S. & Scornet, E., 1 Jul 2021, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 83, 3, p. 505-533 29 p.Research output: Contribution to journal › Article › peer-review
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Asymptotics of Ridge (less) Regression under General Source Condition
Richards, D., Mourtada, J. & Rosasco, L., 1 Jan 2021, In: Proceedings of Machine Learning Research. 130, p. 3889-3897 9 p.Research output: Contribution to journal › Conference article › peer-review
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Distribution-free robust linear regression
Mourtada, J., Vaškevičius, T. & Zhivotovskiy, N., 1 Jan 2021, In: Mathematical Statistics and Learning. 4, 3-4, p. 253-292 40 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Regularized ERM on random subspaces
Della Vecchia, A., Mourtada, J., De Vito, E. & Rosasco, L., 1 Jan 2021, In: Proceedings of Machine Learning Research. 130, p. 4006-4014 9 p.Research output: Contribution to journal › Conference article › peer-review
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Minimax optimal rates for mondrian trees and forests
Mourtada, J., Gaïffas, S. & Scornet, E., 1 Aug 2020, In: Annals of Statistics. 48, 4, p. 2253-2276 24 p.Research output: Contribution to journal › Article › peer-review
Open Access