Robust pairwise learning with Huber loss

DOI10.1016/j.jco.2021.101570OpenAlexW3154298967MaRDI QIDQ1979426

Qiang Wu, Shouyou Huang

Publication date: 2 September 2021

Published in: Journal of Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jco.2021.101570

zbMATH Keywords

learning theoryconcentration inequalityweak moment conditionHuber lossrobust pairwise learning

Mathematics Subject Classification ID

Parametric inference (62Fxx) Artificial intelligence (68Txx) Nonparametric inference (62Gxx)

Related Items (1)

Fast rates of minimum error entropy with heavy-tailed noise

Uses Software

• robustbase

Cites Work

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• On the robustness of regularized pairwise learning methods based on kernels
• On consistency and robustness properties of support vector machines for heavy-tailed distributions
• On qualitative robustness of support vector machines
• The convergence rate of a regularized ranking algorithm
• Learning under \((1 + \epsilon)\)-moment conditions
• Online pairwise learning algorithms with convex loss functions
• Consistency and robustness of kernel-based regression in convex risk minimization
• Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
• Generalization analysis of multi-modal metric learning
• Adaptive Huber Regression
• Learning Theory
• 10.1162/153244302760200704
• Leave-One-Out Bounds for Kernel Methods
• Stability and optimization error of stochastic gradient descent for pairwise learning
• Metric Learning
• Probability Inequalities for Sums of Bounded Random Variables
• Learning rates for regularized least squares ranking algorithm
• Online Pairwise Learning Algorithms
• Robust Statistics
• Robust Estimation of a Location Parameter
• Robust Statistics

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