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Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in
  High Dimensions

Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions

16 June 2020
Hossein Taheri
Ramtin Pedarsani
Christos Thrampoulidis
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Papers citing "Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions"

3 / 3 papers shown
Title
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
11
70
0
06 Sep 2021
Performance of Bayesian linear regression in a model with mismatch
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
30
22
0
14 Jul 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
17
93
0
02 Mar 2021
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