Finding Local Minima via Stochastic Nested Variance Reduction

Finding Local Minima via Stochastic Nested Variance Reduction

22 June 2018

Quanquan Gu

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

7 / 7 papers shown

Title
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization Xu Cai Chaobing Song Stephen J. Wright Jelena Diakonikolas 36 14 0 09 Dec 2022
Escape saddle points by a simple gradient-descent based algorithm Chenyi Zhang Tongyang Li ODL 31 15 0 28 Nov 2021
Escaping Saddle Points with Compressed SGD Dmitrii Avdiukhin G. Yaroslavtsev 22 4 0 21 May 2021
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction Pan Xu F. Gao Quanquan Gu 31 83 0 18 Sep 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization Rong Ge Zhize Li Weiyao Wang Xiang Wang 19 33 0 01 May 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 50 570 0 04 Jul 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014