When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

7 March 2023

Papers citing "When is Importance Weighting Correction Needed for Covariate Shift Adaptation?"

9 / 9 papers shown

Title
Spectral Algorithms under Covariate Shift Jun Fan Zheng-Chu Guo Lei Shi 22 0 0 17 Apr 2025
Conditional Bayesian Quadrature Zonghao Chen Masha Naslidnyk A. Gretton F. Briol TPM 33 3 0 24 Jun 2024
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization Yihang Chen Fanghui Liu Taiji Suzuki V. Cevher 27 1 0 05 Jun 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 21 5 0 15 Mar 2024
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift Xingdong Feng Xin He Caixing Wang Chao Wang Jingnan Zhang 20 7 0 12 Oct 2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints Reese Pathak Martin J. Wainwright Lin Xiao 15 5 0 22 Mar 2023
A new similarity measure for covariate shift with applications to nonparametric regression Reese Pathak Cong Ma Martin J. Wainwright 46 30 0 06 Feb 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 39 27 0 28 Jan 2022
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 174 786 0 19 Feb 2009