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Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for
  Non Convex Optimization
v1v2 (latest)

Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization

18 November 2019
Anas Barakat
Pascal Bianchi
ArXiv (abs)PDFHTML

Papers citing "Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization"

4 / 4 papers shown
Title
Variational Stochastic Gradient Descent for Deep Neural Networks
Variational Stochastic Gradient Descent for Deep Neural Networks
Haotian Chen
Anna Kuzina
Babak Esmaeili
Jakub M. Tomczak
104
0
0
09 Apr 2024
Learning explanations that are hard to vary
Learning explanations that are hard to vary
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
FAtt
86
187
0
01 Sep 2020
Convergence of adaptive algorithms for weakly convex constrained
  optimization
Convergence of adaptive algorithms for weakly convex constrained optimization
Ahmet Alacaoglu
Yura Malitsky
Volkan Cevher
55
10
0
11 Jun 2020
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
137
169
0
19 Dec 2019
1