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Cyclic Block Coordinate Descent With Variance Reduction for Composite
  Nonconvex Optimization

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization

9 December 2022
Xu Cai
Chaobing Song
Stephen J. Wright
Jelena Diakonikolas
ArXivPDFHTML

Papers citing "Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization"

4 / 4 papers shown
Title
SPIRAL: A superlinearly convergent incremental proximal algorithm for
  nonconvex finite sum minimization
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
Pourya Behmandpoor
P. Latafat
Andreas Themelis
Marc Moonen
Panagiotis Patrinos
29
2
0
17 Jul 2022
Stochastic Block-ADMM for Training Deep Networks
Stochastic Block-ADMM for Training Deep Networks
Saeed Khorram
Xiao Fu
Mohamad H. Danesh
Zhongang Qi
Li Fuxin
29
3
0
01 May 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
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
139
1,201
0
16 Aug 2016
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