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Distributed learning with multi-penalty regularization

  • Published:2019-05 Issue:3 Volume:46 Page:478-499
  • ISSN:1063-5203
  • Container-title:Applied and Computational Harmonic Analysis
  • language:en
  • Short-container-title:Applied and Computational Harmonic Analysis

Author:

Guo Zheng-Chu,Lin Shao-Bo,Shi Lei

Funder

National Natural Science Foundation of China

Fudan University

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference35 articles.

1. Multi-penalty regularization in learning theory;Abhishake;J. Complexity,2016

2. On regularization algorithms in learning theory;Bauer;J. Complexity,2007

3. Optimal learning rates for kernel conjugate gradient regression;Blanchard;Adv. Neural Inf. Process. Syst.,2010

4. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006

5. Distributed semi-supervised learning with kernel ridge regression;Chang;J. Mach. Learn. Res.,2017

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4. Estimates on learning rates for multi-penalty distribution regression;Applied and Computational Harmonic Analysis;2024-03

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