Stochastic Variance-Reduced Cubic Regularization for Nonconvex
Optimization

Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization

20 February 2018

Zhe Wang

Papers citing "Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization"

5 / 5 papers shown

Title
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 41 1 0 12 Oct 2024
Augmented Newton Method for Optimization: Global Linear Rate and Momentum Interpretation M. Morshed ODL 9 1 0 23 May 2022
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 19 0 0 26 Aug 2020
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property Yi Zhou Zhe Wang Yingbin Liang 16 23 0 22 Aug 2018
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014