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Information-geometric Markov Chain Monte Carlo methods using Diffusions

Information-geometric Markov Chain Monte Carlo methods using Diffusions

31 March 2014
Samuel Livingstone
Mark Girolami
    DiffM
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Papers citing "Information-geometric Markov Chain Monte Carlo methods using Diffusions"

5 / 5 papers shown
Title
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
28
25
0
20 Mar 2022
A Unifying and Canonical Description of Measure-Preserving Diffusions
A Unifying and Canonical Description of Measure-Preserving Diffusions
Alessandro Barp
So Takao
M. Betancourt
Alexis Arnaudon
Mark Girolami
17
17
0
06 May 2021
Gradients do grow on trees: a linear-time ${\cal O}\hspace{-0.2em}\left(
  N \right)$-dimensional gradient for statistical phylogenetics
Gradients do grow on trees: a linear-time O(N){\cal O}\hspace{-0.2em}\left( N \right)O(N)-dimensional gradient for statistical phylogenetics
X. Ji
Zhenyu Zhang
Andrew J Holbrook
A. Nishimura
G. Baele
A. Rambaut
P. Lemey
M. Suchard
18
30
0
29 May 2019
Consistency and fluctuations for stochastic gradient Langevin dynamics
Consistency and fluctuations for stochastic gradient Langevin dynamics
Yee Whye Teh
Alexandre Hoang Thiery
Sebastian J. Vollmer
19
229
0
01 Sep 2014
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
176
3,260
0
09 Jun 2012
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