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A Novel Stochastic Stratified Average Gradient Method: Convergence Rate
  and Its Complexity
v1v2v3 (latest)

A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity

21 October 2017
Aixiang Chen
Bingchuan Chen
Xiaolong Chai
Rui-Ling Bian
Hengguang Li
ArXiv (abs)PDFHTML

Papers citing "A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity"

3 / 3 papers shown
Title
Simulation Model Calibration with Dynamic Stratification and Adaptive
  Sampling
Simulation Model Calibration with Dynamic Stratification and Adaptive Sampling
Pranav Jain
Sara Shashaani
E. Byon
32
1
0
25 Jan 2024
MSTGD:A Memory Stochastic sTratified Gradient Descent Method with an
  Exponential Convergence Rate
MSTGD:A Memory Stochastic sTratified Gradient Descent Method with an Exponential Convergence Rate
Aixiang Chen
Chen
Jinting Zhang
Zanbo Zhang
Zhihong Li
65
0
0
21 Feb 2022
$\bar{G}_{mst}$:An Unbiased Stratified Statistic and a Fast Gradient
  Optimization Algorithm Based on It
Gˉmst\bar{G}_{mst}Gˉmst​:An Unbiased Stratified Statistic and a Fast Gradient Optimization Algorithm Based on It
Aixiang Chen
57
0
0
07 Oct 2021
1