SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points

19 April 2019

Papers citing "SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points"

10 / 10 papers shown

Title
Second-Order Convergence in Private Stochastic Non-Convex Optimization Youming Tao Zuyuan Zhang Dongxiao Yu Xiuzhen Cheng Falko Dressler Di Wang 12 0 0 21 May 2025
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems Yanjie Zhong Jiaqi Li Soumendra Lahiri 34 1 0 29 Jan 2024
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization Le‐Yu Chen Jing Xu Luo Luo 36 15 0 16 Jan 2023
Tackling benign nonconvexity with smoothing and stochastic gradients Harsh Vardhan Sebastian U. Stich 31 8 0 18 Feb 2022
Escape saddle points by a simple gradient-descent based algorithm Chenyi Zhang Tongyang Li ODL 31 15 0 28 Nov 2021
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima Zixiang Chen Dongruo Zhou Quanquan Gu 43 1 0 25 Oct 2021
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method Zhize Li 48 14 0 21 Mar 2021
Stochastic Gradient Langevin Dynamics with Variance Reduction Zhishen Huang Stephen Becker 17 7 0 12 Feb 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li Hongyan Bao Xiangliang Zhang Peter Richtárik ODL 36 126 0 25 Aug 2020
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization Quoc Tran-Dinh Nhan H. Pham T. Dzung Lam M. Nguyen 27 49 0 08 Jul 2019