conftrace_

principal component regression

15 papers

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Also known as

PCR

Co-occurring keywords

high-dimensional regression (142) high-dimensional statistics (145) prediction error (56) matrix completion (356) ridge regression (134) risk bound (71) high-dimensional datum (158) spectral method (204) treatment effect (134) partial least square (12)

Papers

On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025
Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation NIPS 2023
Adaptive Principal Component Regression with Applications to Panel Data NIPS 2023
Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022
Principal Component Regression with Semirandom Observations via Matrix Completion AISTATS 2021
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond JMLR 2021
On the number of variables to use in principal component regression NIPS 2019
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017
One-shot learning and big data with n=2 NIPS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NIPS 2010
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001