An adaptive gradient method for online AUC maximization

Learning for maximizing AUC performance is an important research problem in machine learning. Unlike traditional batch learning methods for maximizing AUC which often suffer from poor scalability, recent years have witnessed some emerging studies that attempt to maximize AUC by single-pass online le...

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Bibliographic Details
Main Authors: DING, Yi, ZHAO, Peilin, HOI, Steven C. H., ONG, Yew-Soon
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/2638
https://ink.library.smu.edu.sg/context/sis_research/article/3638/viewcontent/AdaptiveGradientAUCmax_2015_aaai.pdf
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Institution: Singapore Management University
Language: English