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Geodesic Monte Carlo on Embedded Manifolds
v1v2 (latest)

Geodesic Monte Carlo on Embedded Manifolds

25 January 2013
Simon Byrne
Mark Girolami
ArXiv (abs)PDFHTML

Papers citing "Geodesic Monte Carlo on Embedded Manifolds"

14 / 64 papers shown
Title
On the convergence of Hamiltonian Monte Carlo
On the convergence of Hamiltonian Monte Carlo
Alain Durmus
Eric Moulines
E. Saksman
92
70
0
29 Apr 2017
Monte Carlo on manifolds: sampling densities and integrating functions
Monte Carlo on manifolds: sampling densities and integrating functions
Emilio Zappa
Miranda C. Holmes-Cerfon
J. Goodman
50
67
0
26 Feb 2017
Geodesic Lagrangian Monte Carlo over the space of positive definite
  matrices: with application to Bayesian spectral density estimation
Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation
Andrew J Holbrook
Shiwei Lan
A. Vandenberg-Rodes
Babak Shahbaba
71
26
0
24 Dec 2016
Geometric adaptive Monte Carlo in random environment
Geometric adaptive Monte Carlo in random environment
Theodore Papamarkou
Alexey Lindo
E. Ford
43
4
0
29 Aug 2016
An Empirical Comparison of Sampling Quality Metrics: A Case Study for
  Bayesian Nonnegative Matrix Factorization
An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization
A. Masood
Weiwei Pan
Finale Doshi-Velez
81
4
0
20 Jun 2016
Bayesian Inference on Matrix Manifolds for Linear Dimensionality
  Reduction
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction
Andrew J Holbrook
A. Vandenberg-Rodes
Babak Shahbaba
43
15
0
14 Jun 2016
Asymptotically exact inference in differentiable generative models
Asymptotically exact inference in differentiable generative models
Matthew M. Graham
Amos J. Storkey
BDL
189
33
0
25 May 2016
On the Geometric Ergodicity of Hamiltonian Monte Carlo
On the Geometric Ergodicity of Hamiltonian Monte Carlo
Samuel Livingstone
M. Betancourt
Simon Byrne
Mark Girolami
141
117
0
29 Jan 2016
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Yang Song
Jun Zhu
51
10
0
03 Dec 2015
Moment conditions and Bayesian nonparametrics
Moment conditions and Bayesian nonparametrics
L. Bornn
N. Shephard
R. Solgi
90
19
0
30 Jul 2015
Sampling constrained probability distributions using Spherical
  Augmentation
Sampling constrained probability distributions using Spherical Augmentation
Shiwei Lan
Babak Shahbaba
TPM
95
14
0
19 Jun 2015
Information-geometric Markov Chain Monte Carlo methods using Diffusions
Information-geometric Markov Chain Monte Carlo methods using Diffusions
Samuel Livingstone
Mark Girolami
DiffM
128
45
0
31 Mar 2014
A new method to simulate the Bingham and related distributions in
  directional data analysis with applications
A new method to simulate the Bingham and related distributions in directional data analysis with applications
J. Kent
Asaad M. Ganeiber
K. Mardia
69
52
0
30 Oct 2013
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Shiwei Lan
Bo Zhou
Babak Shahbaba
95
58
0
17 Sep 2013
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