Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift

Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift

12 October 2023

Caixing Wang

Papers citing "Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift"

7 / 7 papers shown

Title
Spectral Algorithms under Covariate Shift Jun Fan Zheng-Chu Guo Lei Shi 27 0 0 17 Apr 2025
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 22 0 0 24 Aug 2024
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization Yihang Chen Fanghui Liu Taiji Suzuki V. Cevher 32 1 0 05 Jun 2024
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Mitsuhiro Fujikawa Yohei Akimoto Jun Sakuma Kazuto Fukuchi 16 0 0 27 May 2024
Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime Kuo-Wei Lai Vidya Muthukumar 23 0 0 10 May 2024
The Expressibility of Polynomial based Attention Scheme Zhao-quan Song Guangyi Xu Junze Yin 21 5 0 30 Oct 2023
A new similarity measure for covariate shift with applications to nonparametric regression Reese Pathak Cong Ma Martin J. Wainwright 53 30 0 06 Feb 2022