An elementary analysis of ridge regression with random design

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An elementary analysis of ridge regression with random design

16 March 2022

Jaouad Mourtada

Lorenzo Rosasco

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Papers citing "An elementary analysis of ridge regression with random design"

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Title
STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation Zenghao Guan Guojun Zhu Yucan Zhou Wu Liu Weiping Wang Jiebo Luo Xiaoyan Gu 64 0 0 02 Jun 2025
Comparing regularisation paths of (conjugate) gradient estimators in ridge regression Laura Hucker Markus Reiß Thomas Stark 82 1 0 07 Mar 2025
Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility Yuantong Li Guang Cheng Xiaowu Dai 70 1 0 04 Jun 2024
Random features models: a way to study the success of naive imputation Alexis Ayme Claire Boyer Lpsm Aymeric Dieuleveut Erwan Scornet 91 6 0 06 Feb 2024
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 176 7 0 20 Jul 2023
How many samples are needed to leverage smoothness? Vivien A. Cabannes Stefano Vigogna 62 2 0 25 May 2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints Reese Pathak Martin J. Wainwright Lin Xiao 58 5 0 22 Mar 2023
High-dimensional analysis of double descent for linear regression with random projections Francis R. Bach 93 36 0 02 Mar 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization Vivien A. Cabannes B. Kiani Randall Balestriero Yann LeCun A. Bietti SSL 92 33 0 06 Feb 2023
Naive imputation implicitly regularizes high-dimensional linear models Alexis Ayme Claire Boyer Aymeric Dieuleveut Erwan Scornet AI4CE 54 8 0 31 Jan 2023