Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift

20 February 2023

Papers citing "Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift"

8 / 8 papers shown

Title
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation Boxin Zhao Cong Ma Mladen Kolar 67 1 0 23 Nov 2024
Smoothness Adaptive Hypothesis Transfer Learning Haotian Lin M. Reimherr 16 4 0 22 Feb 2024
On the design-dependent suboptimality of the Lasso Reese Pathak Cong Ma 20 4 0 01 Feb 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation Franccois Portier Lionel Truquet Ikko Yamane OffRL 8 0 0 15 Dec 2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks Ziyi Huang H. Lam Haofeng Zhang UQCV 11 4 0 09 Jun 2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints Reese Pathak Martin J. Wainwright Lin Xiao 23 5 0 22 Mar 2023
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? Davit Gogolashvili Matteo Zecchin Motonobu Kanagawa Marios Kountouris Maurizio Filippone 25 6 0 07 Mar 2023
A new similarity measure for covariate shift with applications to nonparametric regression Reese Pathak Cong Ma Martin J. Wainwright 56 30 0 06 Feb 2022