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Ridge regression and asymptotic minimax estimation over spheres of
  growing dimension

Ridge regression and asymptotic minimax estimation over spheres of growing dimension

15 January 2016
Lee H. Dicker
ArXivPDFHTML

Papers citing "Ridge regression and asymptotic minimax estimation over spheres of growing dimension"

6 / 6 papers shown
Title
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
45
1
0
18 Apr 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
Jérémie Bigot
Issa-Mbenard Dabo
Camille Male
29
4
0
29 Mar 2024
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
Hong Hu
Yue M. Lu
51
15
0
13 May 2022
Spectra of the Conjugate Kernel and Neural Tangent Kernel for
  linear-width neural networks
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
Z. Fan
Zhichao Wang
31
71
0
25 May 2020
Ridge Regression: Structure, Cross-Validation, and Sketching
Ridge Regression: Structure, Cross-Validation, and Sketching
Sifan Liu
Edgar Dobriban
CML
25
48
0
06 Oct 2019
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
32
262
0
25 Oct 2016
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