Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory

Pairwise learning is essential in machine learning, especially for problems involving loss functions defined on pairs of training examples. Online gradient descent (OGD) algorithms have been proposed to handle online pairwise learning, where data arrives sequentially. However, the pairwise nature of...

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Hauptverfasser:	AlQuabeh, Hilal, Mukhoty, Bhaskar, Gu, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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