High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Yihang Chen; Fanghui Liu; Taiji Suzuki; Volkan Cevher

2024 ICML ICML 2024

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher

Topics

Machine Learning > Core Methods > Regression Machine Learning > Application Areas > Domain Adaptation

Keywords

covariate shift kernel ridge regression bias-variance decomposition importance reweighting spectral decay regularization scale

Download PDF