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On the Convergence to a Global Solution of Shuffling-Type Gradient
  Algorithms

On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms

13 June 2022
Lam M. Nguyen
Trang H. Tran
ArXivPDFHTML

Papers citing "On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms"

4 / 4 papers shown
Title
Shuffling Momentum Gradient Algorithm for Convex Optimization
Shuffling Momentum Gradient Algorithm for Convex Optimization
Trang H. Tran
Quoc Tran-Dinh
Lam M. Nguyen
20
1
0
05 Mar 2024
New Convergence Aspects of Stochastic Gradient Algorithms
New Convergence Aspects of Stochastic Gradient Algorithms
Lam M. Nguyen
Phuong Ha Nguyen
Peter Richtárik
K. Scheinberg
Martin Takáč
Marten van Dijk
23
65
0
10 Nov 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,198
0
16 Aug 2016
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