Stochastic subgradient method converges at the rate (k^{-1/4})$ on weakly convex function Published: 2018/02/08, Updated: 2018/02/13 Damek DavisDmitriy DrusvyatskiyCategories Nonsmooth Optimization Tags moreau envelope, stochastic, subgradient method Short URL: https://optimization-online.org/?p=15029 We prove that the projected stochastic subgradient method, applied to a weakly convex problem, drives the gradient of the Moreau envelope to zero at the rate $O(k^{-1/4})$. ArticleDownload View PDF