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Sampling as optimization in the space of measures: The Langevin dynamics
  as a composite optimization problem

Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem

22 February 2018
Andre Wibisono
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Papers citing "Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem"

3 / 53 papers shown
Title
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
37
158
0
21 Oct 2016
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
1,199
0
16 Aug 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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