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

1 December 2020

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

9 / 9 papers shown

Title
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 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 Niladri S. Chatterji Philip M. Long 20 8 0 19 Sep 2022
Tight bounds for minimum l1-norm interpolation of noisy data Guillaume Wang Konstantin Donhauser Fanny Yang 79 20 0 10 Nov 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 29 71 0 06 Sep 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting Frederic Koehler Lijia Zhou Danica J. Sutherland Nathan Srebro 29 55 0 17 Jun 2021
AdaBoost and robust one-bit compressed sensing Geoffrey Chinot Felix Kuchelmeister Matthias Löffler Sara van de Geer 32 5 0 05 May 2021
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 125 379 0 11 Jul 2010