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Optimally tackling covariate shift in RKHS-based nonparametric
  regression
v1v2 (latest)

Optimally tackling covariate shift in RKHS-based nonparametric regression

6 May 2022
Cong Ma
Reese Pathak
Martin J. Wainwright
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
Title
Training-Conditional Coverage Bounds under Covariate Shift
Training-Conditional Coverage Bounds under Covariate Shift
Mehrdad Pournaderi
Yu Xiang
67
3
0
26 May 2024
Smoothness Adaptive Hypothesis Transfer Learning
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin
M. Reimherr
73
8
0
22 Feb 2024
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
167
7
0
20 Jul 2023
Efficient and Multiply Robust Risk Estimation under General Forms of
  Dataset Shift
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
Hongxiang Qiu
E. T. Tchetgen
Yan Sun
OOD
54
7
0
28 Jun 2023
Utility Theory of Synthetic Data Generation
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
174
5
0
17 May 2023
Noisy recovery from random linear observations: Sharp minimax rates
  under elliptical constraints
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints
Reese Pathak
Martin J. Wainwright
Lin Xiao
58
5
0
22 Mar 2023
Kernel-based off-policy estimation without overlap: Instance optimality
  beyond semiparametric efficiency
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency
Wenlong Mou
Peng Ding
Martin J. Wainwright
Peter L. Bartlett
OffRL
74
11
0
16 Jan 2023
Importance Weighting Correction of Regularized Least-Squares for Covariate and Target Shifts
Davit Gogolashvili
OOD
54
1
0
18 Oct 2022
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