Finding Local Minima via Stochastic Nested Variance Reduction

Finding Local Minima via Stochastic Nested Variance Reduction

22 June 2018

Quanquan Gu

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Papers citing "Finding Local Minima via Stochastic Nested Variance Reduction"

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Title
Gradient Normalization Provably Benefits Nonconvex SGD under Heavy-Tailed Noise Tao Sun Xinwang Liu Kun Yuan 159 6 0 21 Oct 2024
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz Tao Sun Congliang Chen Peng Qiao Li Shen Xinwang Liu Dongsheng Li 113 5 0 23 Oct 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization Xu Cai Chaobing Song Stephen J. Wright Jelena Diakonikolas 115 16 0 09 Dec 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization Zhize Li Jian Li 147 8 0 22 Aug 2022
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions Xu Cai Chaobing Song Cristóbal Guzmán Jelena Diakonikolas 189 11 0 17 Mar 2022
Escape saddle points by a simple gradient-descent based algorithm Chenyi Zhang Tongyang Li ODL 92 15 0 28 Nov 2021
Escaping Saddle Points with Compressed SGD Dmitrii Avdiukhin G. Yaroslavtsev 106 4 0 21 May 2021
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods Guannan Liang Qianqian Tong Chunjiang Zhu J. Bi 152 3 0 07 Mar 2021
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points Long Yang Qian Zheng Gang Pan 135 25 0 02 Dec 2020
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient Andi Han Junbin Gao 93 5 0 23 Oct 2020
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction Pan Xu F. Gao Quanquan Gu 165 92 0 18 Sep 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization Rong Ge Zhize Li Weiyao Wang Xiang Wang 78 36 0 01 May 2019
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points Zhize Li 124 42 0 19 Apr 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points Cong Fang Zhouchen Lin Tong Zhang 142 104 0 01 Feb 2019
Stochastic Recursive Variance-Reduced Cubic Regularization Methods Dongruo Zhou Quanquan Gu 148 27 0 31 Jan 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 264 603 0 04 Jul 2018