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Non-ergodic Convergence Analysis of Heavy-Ball Algorithms

Non-ergodic Convergence Analysis of Heavy-Ball Algorithms

5 November 2018
Tao Sun
Penghang Yin
Dongsheng Li
Chun Huang
Lei Guan
Hao Jiang
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Papers citing "Non-ergodic Convergence Analysis of Heavy-Ball Algorithms"

3 / 3 papers shown
Title
Momentum and Stochastic Momentum for Stochastic Gradient, Newton,
  Proximal Point and Subspace Descent Methods
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou
Peter Richtárik
59
200
0
27 Dec 2017
Linearly convergent stochastic heavy ball method for minimizing
  generalization error
Linearly convergent stochastic heavy ball method for minimizing generalization error
Nicolas Loizou
Peter Richtárik
103
45
0
30 Oct 2017
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
Peter Ochs
Yunjin Chen
Thomas Brox
Thomas Pock
50
431
0
18 Apr 2014
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