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On Uniform Convergence and Low-Norm Interpolation Learning

On Uniform Convergence and Low-Norm Interpolation Learning

10 June 2020
Lijia Zhou
Danica J. Sutherland
Nathan Srebro
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Papers citing "On Uniform Convergence and Low-Norm Interpolation Learning"

5 / 5 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
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
29
71
0
06 Sep 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and
  Benign Overfitting
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
RATT: Leveraging Unlabeled Data to Guarantee Generalization
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg
Sivaraman Balakrishnan
J. Zico Kolter
Zachary Chase Lipton
28
30
0
01 May 2021
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