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

DP-MP: a novel cross-subject fatigue detection framework with DANN-based prototypical representation and mix-up pairwise learning

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0 Published in 2024 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ad618a

Abstract: Objective. Electroencephalography (EEG) is widely recognized as an effective method for detecting fatigue. However, practical applications of EEG for fatigue detection in real-world scenarios are often challenging, particularly in cases involving subjects not included in… read more here.

Keywords: detection; framework; pairwise learning; cross subject ... See more keywords

Pairwise Learning With Gaussian Empirical Gain Function

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0 Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3507539

Abstract: This article investigate the performance of Gaussian Empirical Gain Maximization (EGM) in a regression setting and conduct a detailed theoretical analysis, particularly in the presence of heavy-tailed noise, where this article establish improved convergence rates.… read more here.

Keywords: article; empirical gain; pairwise learning; gaussian empirical ... 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