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Local convergence rates of the nonparametric least squares estimator with applications to transfer learning
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Local convergence rates of the nonparametric least squares estimator with applications to transfer learning

Johannes Schmidt-Hieber
Petr Zamolodtchikov
ArXiv (abs)PDFHTML

Papers citing "Local convergence rates of the nonparametric least squares estimator with applications to transfer learning"

4 / 4 papers shown
Title
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Andrea Della Vecchia
Arnaud Mavakala Watusadisi
Ernesto De Vito
Lorenzo Rosasco
47
0
0
20 May 2025
Deep Transfer Learning: Model Framework and Error Analysis
Deep Transfer Learning: Model Framework and Error Analysis
Yuling Jiao
Huazhen Lin
Yuchen Luo
Jerry Zhijian Yang
131
1
0
12 Oct 2024
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training
Masaaki Imaizumi
AAML
71
4
0
08 Jul 2023
Optimally tackling covariate shift in RKHS-based nonparametric regression
Optimally tackling covariate shift in RKHS-based nonparametric regression
Cong Ma
Reese Pathak
Martin J. Wainwright
64
45
0
06 May 2022