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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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| 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 |