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On the Proximal Gradient Algorithm with Alternated Inertia

On the Proximal Gradient Algorithm with Alternated Inertia

17 January 2018
F. Iutzeler
J. Malick
ArXivPDFHTML

Papers citing "On the Proximal Gradient Algorithm with Alternated Inertia"

3 / 3 papers shown
Title
Efficient Consensus Model based on Proximal Gradient Method applied to
  Convolutional Sparse Problems
Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems
Gustavo Silva
P. Rodríguez
16
0
0
19 Nov 2020
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low
  Computational Complexity for Binary Logistic Regression
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression
L. Briceño-Arias
Giovanni Chierchia
Émilie Chouzenoux
J. Pesquet
30
26
0
25 Dec 2017
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
1