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A note on the prediction error of principal component regression in high
  dimensions
v1v2 (latest)

A note on the prediction error of principal component regression in high dimensions

9 December 2022
L. Hucker
Martin Wahl
ArXiv (abs)PDFHTML

Papers citing "A note on the prediction error of principal component regression in high dimensions"

5 / 5 papers shown
Title
Comparing regularisation paths of (conjugate) gradient estimators in ridge regression
Laura Hucker
Markus Reiß
Thomas Stark
82
1
0
07 Mar 2025
Simple Relative Deviation Bounds for Covariance and Gram Matrices
Simple Relative Deviation Bounds for Covariance and Gram Matrices
Daniel Barzilai
Ohad Shamir
68
1
0
08 Oct 2024
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant
  Data
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
Kevin Luo
Yufan Li
Pragya Sur
89
3
0
17 Jun 2024
A kernel-based analysis of Laplacian Eigenmaps
A kernel-based analysis of Laplacian Eigenmaps
Martin Wahl
59
2
0
26 Feb 2024
An operator learning perspective on parameter-to-observable maps
An operator learning perspective on parameter-to-observable maps
Daniel Zhengyu Huang
Nicholas H. Nelsen
Margaret Trautner
67
12
0
08 Feb 2024
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