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On the robustness of minimum norm interpolators and regularized
  empirical risk minimizers

On the robustness of minimum norm interpolators and regularized empirical risk minimizers

1 December 2020
Geoffrey Chinot
Matthias Löffler
Sara van de Geer
ArXivPDFHTML

Papers citing "On the robustness of minimum norm interpolators and regularized empirical risk minimizers"

7 / 7 papers shown
Title
Implicit Regularization Leads to Benign Overfitting for Sparse Linear
  Regression
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Mo Zhou
Rong Ge
27
2
0
01 Feb 2023
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized
  Linear Models
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou
Frederic Koehler
Pragya Sur
Danica J. Sutherland
Nathan Srebro
83
9
0
21 Oct 2022
Deep Linear Networks can Benignly Overfit when Shallow Ones Do
Deep Linear Networks can Benignly Overfit when Shallow Ones Do
Niladri S. Chatterji
Philip M. Long
13
8
0
19 Sep 2022
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of
  Overparameterized Machine Learning
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
24
71
0
06 Sep 2021
AdaBoost and robust one-bit compressed sensing
AdaBoost and robust one-bit compressed sensing
Geoffrey Chinot
Felix Kuchelmeister
Matthias Löffler
Sara van de Geer
27
5
0
05 May 2021
Learning without Concentration
Learning without Concentration
S. Mendelson
80
333
0
01 Jan 2014
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
113
377
0
11 Jul 2010
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