Stochastic Recursive Variance-Reduced Cubic Regularization Methods

Stochastic Recursive Variance-Reduced Cubic Regularization Methods

31 January 2019

Quanquan Gu

Papers citing "Stochastic Recursive Variance-Reduced Cubic Regularization Methods"

7 / 7 papers shown

Title
Efficiently Escaping Saddle Points for Non-Convex Policy Optimization Sadegh Khorasani Saber Salehkaleybar Negar Kiyavash Niao He Matthias Grossglauser 31 1 0 15 Nov 2023
How to escape sharp minima with random perturbations Kwangjun Ahn Ali Jadbabaie S. Sra ODL 39 6 0 25 May 2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 28 1 0 22 Feb 2023
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
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
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014