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Prediction Risk and Estimation Risk of the Ridgeless Least Squares
  Estimator under General Assumptions on Regression Errors
v1v2v3 (latest)

Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors

22 May 2023
Sungyoon Lee
S. Lee
ArXiv (abs)PDFHTML

Papers citing "Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors"

5 / 5 papers shown
Title
Asymptotics of Ridge (less) Regression under General Source Condition
Asymptotics of Ridge (less) Regression under General Source Condition
Dominic Richards
Jaouad Mourtada
Lorenzo Rosasco
73
73
0
11 Jun 2020
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized
  Linear Regression
On the Optimal Weighted ℓ2\ell_2ℓ2​ Regularization in Overparameterized Linear Regression
Denny Wu
Ji Xu
70
123
0
10 Jun 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
194
746
0
19 Mar 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
242
1,655
0
28 Dec 2018
To understand deep learning we need to understand kernel learning
To understand deep learning we need to understand kernel learning
M. Belkin
Siyuan Ma
Soumik Mandal
68
420
0
05 Feb 2018
1