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An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression

22 June 2023
Lijia Zhou
James B. Simon
Gal Vardi
Nathan Srebro
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Papers citing "An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression"

5 / 5 papers shown
Title
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying
  Bandwidth or Dimensionality
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev
Gal Vardi
Nathan Srebro
68
3
0
05 Sep 2024
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
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
95
24
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
79
20
0
10 Nov 2021
The Eigenlearning Framework: A Conservation Law Perspective on Kernel
  Regression and Wide Neural Networks
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks
James B. Simon
Madeline Dickens
Dhruva Karkada
M. DeWeese
48
27
0
08 Oct 2021
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