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Finite-Sum Optimization: A New Perspective for Convergence to a Global
  Solution

Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution

7 February 2022
Lam M. Nguyen
Trang H. Tran
Marten van Dijk
ArXivPDFHTML

Papers citing "Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution"

4 / 4 papers shown
Title
On the Convergence to a Global Solution of Shuffling-Type Gradient
  Algorithms
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Lam M. Nguyen
Trang H. Tran
19
2
0
13 Jun 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Trang H. Tran
K. Scheinberg
Lam M. Nguyen
21
11
0
07 Feb 2022
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
18
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
1,194
0
16 Aug 2016
1