LAUSR

Refined bounds for online pairwise learning algorithms

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1 Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.11.049

Abstract: Abstract Motivated by the recent growing interest in pairwise learning problems, we study the generalization performance of Online Pairwise lEaRning Algorithm (OPERA) in a reproducing kernel Hilbert space (RKHS) without an explicit regularization. The convergence… read more here.

Keywords: pairwise; online pairwise; pairwise learning; refined bounds ... See more keywords

Convergence analysis of distributed multi-penalty regularized pairwise learning

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0 Published in 2019 at "Analysis and Applications"

DOI: 10.1142/s0219530519410045

Abstract: In this paper, we establish the error analysis for distributed pairwise learning with multi-penalty regularization, based on a divide-and-conquer strategy. We demonstrate with L2-error bound that t... read more here.

Keywords: analysis distributed; analysis; multi penalty; pairwise learning ... See more keywords

Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks

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2 Published in 2023 at "Neural Computation"

DOI: 10.1162/neco_a_01585

Abstract: Abstract Pairwise learning is widely employed in ranking, similarity and metric learning, area under the ROC curve (AUC) maximization, and many other learning tasks involving sample pairs. Pairwise learning with deep neural networks was considered… read more here.

Keywords: neural networks; deep neural; learning ranking; analysis ... See more keywords