A simple proximal stochastic gradient method for nonsmooth nonconvex optimization
We analyze stochastic gradient algorithms for optimizing nonconvex, nonsmooth finite-sum problems. In particular, the objective function is given by the summation of a differentiable (possibly nonconvex) component, together with a possibly non-differentiable but convex component. We propose a proxim...
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| Main Authors: | , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2018
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8674 https://ink.library.smu.edu.sg/context/sis_research/article/9677/viewcontent/NeurIPS_2018_a_simple_proximal_stochastic_gradient_method_for_nonsmooth_nonconvex_optimization_Paper.pdf |
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| 機構: | Singapore Management University |
| 語言: | English |