Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

28 November 2018

Papers citing "Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence"

7 / 7 papers shown

Title
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu Qi Qi Zhaosong Lu Tianbao Yang 34 1 0 28 May 2024
Data-driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information Yiyang Zhang Junyi Liu Xiaobo Zhao 11 2 0 26 Apr 2023
On Uniform Boundedness Properties of SGD and its Momentum Variants Xiaoyu Wang M. Johansson 20 3 0 25 Jan 2022
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence Ganzhao Yuan 25 3 0 09 Sep 2021
Practical Precoding via Asynchronous Stochastic Successive Convex Approximation Basil M. Idrees J. Akhtar K. Rajawat 8 6 0 03 Oct 2020
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates V. Upadhya P. Sastry 10 2 0 25 Oct 2018
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 84 736 0 19 Mar 2014