Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression

8 December 2021

Papers citing "Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression"

5 / 5 papers shown

Title
$Tight bounds for maximum $\ell_1$-margin classifiers$ Tight bounds for maximum $\ell_1$ -margin classifiers Stefan Stojanovic Konstantin Donhauser Fanny Yang 35 0 0 07 Dec 2022
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
Foolish Crowds Support Benign Overfitting Niladri S. Chatterji Philip M. Long 83 20 0 06 Oct 2021
Failures of model-dependent generalization bounds for least-norm interpolation Peter L. Bartlett Philip M. Long 80 29 0 16 Oct 2020
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014