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Accelerated Stochastic Gradient-free and Projection-free Methods
[article]
2020
arXiv
pre-print
In the paper, we propose a class of accelerated stochastic gradient-free and projection-free (a.k.a., zeroth-order Frank-Wolfe) methods to solve the constrained stochastic and finite-sum nonconvex optimization. Specifically, we propose an accelerated stochastic zeroth-order Frank-Wolfe (Acc-SZOFW) method based on the variance reduced technique of SPIDER/SpiderBoost and a novel momentum accelerated technique. Moreover, under some mild conditions, we prove that the Acc-SZOFW has the function
arXiv:2007.12625v2
fatcat:ld6aps74dvcf5hwulaovd27pii