Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization

Michael R. Metel, Akiko Takeda. Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 4537-4545, PMLR, 2019. [doi]

Abstract

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