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Stochastic Variable Metric Proximal Gradient with variance reduction for
  non-convex composite optimization

Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization

2 January 2023
G. Fort
Eric Moulines
ArXivPDFHTML

Papers citing "Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization"

4 / 4 papers shown
Title
A Proximal Newton Adaptive Importance Sampler
A Proximal Newton Adaptive Importance Sampler
Victor Elvira
Émilie Chouzenoux
O. Deniz Akyildiz
76
0
0
21 Dec 2024
Stochastic Approximation Beyond Gradient for Signal Processing and
  Machine Learning
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning
Aymeric Dieuleveut
G. Fort
Eric Moulines
Hoi-To Wai
51
12
0
22 Feb 2023
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization
Samuel Horváth
Lihua Lei
Peter Richtárik
Michael I. Jordan
55
30
0
13 Feb 2020
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
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