On the robustness of regularized pairwise learning methods based on kernels-Reference-Cited by-同舟云学术

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On the robustness of regularized pairwise learning methods based on kernels

Published:2016-12 Issue: Volume:37 Page:1-33
ISSN:0885-064X
Container-title:Journal of Complexity
language:en
Short-container-title:Journal of Complexity

Author:

Christmann Andreas,Zhou Ding-Xuan

Funder

Deutsche Forschungsgesellschaft

RGC

NSFC

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Optimization,Numerical Analysis,Statistics and Probability,Algebra and Number Theory,General Mathematics

Reference54 articles.

1. Generalization bounds for ranking algorithms via algorithmic stability;Agarwal;J. Mach. Learn. Res.,2009

2. Nonlinear Functional Analysis;Akerkar,1999

3. Convergence of Probability Measures;Billingsley,1999

4. Integration I;Bourbaki,2004

5. Generalization bounds for metric and similarity learning;Cao;Mach. Learn.,2015

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2. Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks;Neural Computation;2023-05-12

3. Pairwise learning problems with regularization networks and Nyström subsampling approach;Neural Networks;2023-01

4. Error analysis of kernel regularized pairwise learning with a strongly convex loss;Mathematical Foundations of Computing;2022

5. On the Robustness of Kernel-Based Pairwise Learning;Artificial Intelligence, Big Data and Data Science in Statistics;2022

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