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

9 December 2022

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 54 1 0 07 Mar 2025
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 63 1 0 01 Oct 2024
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data Kevin Luo Yufan Li Pragya Sur 42 3 0 17 Jun 2024
A kernel-based analysis of Laplacian Eigenmaps Martin Wahl 37 2 0 26 Feb 2024
An operator learning perspective on parameter-to-observable maps Daniel Zhengyu Huang Nicholas H. Nelsen Margaret Trautner 48 11 0 08 Feb 2024