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A Unified Convergence Theorem for Stochastic Optimization Methods

A Unified Convergence Theorem for Stochastic Optimization Methods

8 June 2022
Xiao Li
Andre Milzarek
ArXivPDFHTML

Papers citing "A Unified Convergence Theorem for Stochastic Optimization Methods"

4 / 4 papers shown
Title
High Probability Guarantees for Random Reshuffling
High Probability Guarantees for Random Reshuffling
Hengxu Yu
Xiao Li
27
2
0
20 Nov 2023
Distributed Stochastic Optimization under a General Variance Condition
Distributed Stochastic Optimization under a General Variance Condition
Kun-Yen Huang
Xiao Li
Shin-Yi Pu
FedML
28
5
0
30 Jan 2023
Convergence of stochastic gradient descent schemes for
  Lojasiewicz-landscapes
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Steffen Dereich
Sebastian Kassing
18
27
0
16 Feb 2021
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
570
0
08 Dec 2012
1