Optimally tackling covariate shift in RKHS-based nonparametric regression

6 May 2022

Papers citing "Optimally tackling covariate shift in RKHS-based nonparametric regression"

10 / 10 papers shown

Title
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion Akhil Jalan Yassir Jedra Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 294 0 0 28 Feb 2025
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 42 6 0 20 Jul 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 53 5 0 17 May 2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints Reese Pathak Martin J. Wainwright Lin Xiao 43 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 37 7 0 07 Mar 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift Kaizheng Wang 36 11 0 20 Feb 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 44 10 0 16 Jan 2023
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 70 16 0 22 Nov 2022
Importance Weighting Correction of Regularized Least-Squares for Covariate and Target Shifts Davit Gogolashvili OOD 27 1 0 18 Oct 2022
A new similarity measure for covariate shift with applications to nonparametric regression Reese Pathak Cong Ma Martin J. Wainwright 69 32 0 06 Feb 2022