Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth
Optimization

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization

16 February 2019

Heng-Chiao Huang

Papers citing "Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization"

11 / 11 papers shown

Title
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms Bin Gu Xiyuan Wei Hualin Zhang Yi Chang Heng-Chiao Huang FedML 23 0 0 03 Oct 2024
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient Hao Di Haishan Ye Yueling Zhang Xiangyu Chang Guang Dai Ivor W. Tsang 45 1 0 28 May 2024
Lazy Queries Can Reduce Variance in Zeroth-order Optimization Quan-Wu Xiao Qing Ling Tianyi Chen 46 0 0 14 Jun 2022
Distributed stochastic projection-free solver for constrained optimization Xia Jiang Xianlin Zeng Lihua Xie Jian Sun Jie Chen 25 3 0 22 Apr 2022
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization Raghu Bollapragada Stefan M. Wild 40 11 0 24 Sep 2021
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm Yanhao Jin Tesi Xiao Krishnakumar Balasubramanian 28 5 0 10 Feb 2021
Accelerated Stochastic Gradient-free and Projection-free Methods Feihu Huang Lue Tao Songcan Chen 23 21 0 16 Jul 2020
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity Feihu Huang Shangqian Gao J. Pei Heng-Chiao Huang 19 8 0 30 Jul 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization Wanli Shi Bin Gu Xiang Li Xiang Geng Heng-Chiao Huang 26 15 0 29 Jul 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization Feihu Huang Shangqian Gao Songcan Chen Heng-Chiao Huang 14 18 0 29 May 2019
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014