Efficient stochastic gradient hard thresholding

Stochastic gradient hard thresholding methods have recently been shown to work favorably in solving large-scale empirical risk minimization problems under sparsity or rank constraint. Despite the improved iteration complexity over full gradient methods, the gradient evaluation and hard thresholding...

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Bibliographic Details
Main Authors: ZHOU, Pan, YUAN, Xiao-Tong, FENG, Jiashi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/9003
https://ink.library.smu.edu.sg/context/sis_research/article/10006/viewcontent/NeurIPS_2018_efficient_stochastic_gradient_hard_thresholding_Paper.pdf
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Institution: Singapore Management University
Language: English