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A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized
  Linear Models

A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models

21 October 2022
Lijia Zhou
Frederic Koehler
Pragya Sur
Danica J. Sutherland
Nathan Srebro
ArXivPDFHTML

Papers citing "A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models"

5 / 5 papers shown
Title
The Implicit Bias of Benign Overfitting
The Implicit Bias of Benign Overfitting
Ohad Shamir
72
35
0
27 Jan 2022
Optimistic Rates: A Unifying Theory for Interpolation Learning and
  Regularization in Linear Regression
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
Lijia Zhou
Frederic Koehler
Danica J. Sutherland
Nathan Srebro
81
19
0
08 Dec 2021
Tight bounds for minimum l1-norm interpolation of noisy data
Tight bounds for minimum l1-norm interpolation of noisy data
Guillaume Wang
Konstantin Donhauser
Fanny Yang
67
19
0
10 Nov 2021
Foolish Crowds Support Benign Overfitting
Foolish Crowds Support Benign Overfitting
Niladri S. Chatterji
Philip M. Long
68
17
0
06 Oct 2021
Learning without Concentration
Learning without Concentration
S. Mendelson
71
326
0
01 Jan 2014
1