Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting

17 June 2021

Papers citing "Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting"

10 / 10 papers shown

Title
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality Marko Medvedev Gal Vardi Nathan Srebro 49 3 0 05 Sep 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 47 0 0 06 Apr 2024
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 47 1 0 25 May 2023
$Tight bounds for maximum $\ell_1$-margin classifiers$ Tight bounds for maximum $\ell_1$ -margin classifiers Stefan Stojanovic Konstantin Donhauser Fanny Yang 21 0 0 07 Dec 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 29 17 0 24 Oct 2022
Deep Linear Networks can Benignly Overfit when Shallow Ones Do Niladri S. Chatterji Philip M. Long 8 8 0 19 Sep 2022
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting Neil Rohit Mallinar James B. Simon Amirhesam Abedsoltan Parthe Pandit M. Belkin Preetum Nakkiran 19 37 0 14 Jul 2022
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 11 70 0 06 Sep 2021
Failures of model-dependent generalization bounds for least-norm interpolation Peter L. Bartlett Philip M. Long 78 29 0 16 Oct 2020
Learning without Concentration S. Mendelson 78 334 0 01 Jan 2014