Estimates on learning rates for multi-penalty distribution regression-Reference-Cited by-同舟云学术

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Estimates on learning rates for multi-penalty distribution regression

Published:2024-03 Issue: Volume:69 Page:101609
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Yu Zhan^ORCID,Ho Daniel W.C.

Funder

City University of Hong Kong

Research Grants Council, University Grants Committee

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference25 articles.

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

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

3. Unifying divergence minimization and statistical inference via convex duality;Altun,2006

4. Optimal rates for the regularized least-squares algorithm;Caponnetto;Found. Comput. Math.,2007

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

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