A hybrid stochastic-deterministic minibatch proximal gradient method for efficient optimization and generalization
Despite the success of stochastic variance-reduced gradient (SVRG) algorithms in solving large-scale problems, their stochastic gradient complexity often scales linearly with data size and is expensive for huge data. Accordingly, we propose a hybrid stochastic-deterministic minibatch proximal gradie...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8979 https://ink.library.smu.edu.sg/context/sis_research/article/9982/viewcontent/2021_TPAMI_HSDN.pdf |
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Institution: | Singapore Management University |
Language: | English |
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