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Acceleration and Averaging in Stochastic Mirror Descent Dynamics

Acceleration and Averaging in Stochastic Mirror Descent Dynamics

19 July 2017
Walid Krichene
Peter L. Bartlett
ArXiv (abs)PDFHTML

Papers citing "Acceleration and Averaging in Stochastic Mirror Descent Dynamics"

3 / 3 papers shown
Title
Constrained Langevin Algorithms with L-mixing External Random Variables
Constrained Langevin Algorithms with L-mixing External Random Variables
Yu Zheng
Andrew G. Lamperski
83
6
0
27 May 2022
Projected Stochastic Gradient Langevin Algorithms for Constrained
  Sampling and Non-Convex Learning
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
Andrew G. Lamperski
42
28
0
22 Dec 2020
Continuous-time Models for Stochastic Optimization Algorithms
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto
Aurelien Lucchi
119
32
0
05 Oct 2018
1