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Monte Carlo on manifolds: sampling densities and integrating functions
v1v2 (latest)

Monte Carlo on manifolds: sampling densities and integrating functions

26 February 2017
Emilio Zappa
Miranda C. Holmes-Cerfon
J. Goodman
ArXiv (abs)PDFHTML

Papers citing "Monte Carlo on manifolds: sampling densities and integrating functions"

15 / 15 papers shown
Title
Constrained Exploration via Reflected Replica Exchange Stochastic
  Gradient Langevin Dynamics
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng
Hengrong Du
Qi Feng
Wei Deng
Guang Lin
65
5
0
13 May 2024
Riemannian Langevin Monte Carlo schemes for sampling PSD matrices with
  fixed rank
Riemannian Langevin Monte Carlo schemes for sampling PSD matrices with fixed rank
Tianmin Yu
Shixin Zheng
Jianfeng Lu
Govind Menon
Xiangxiong Zhang
15
0
0
08 Sep 2023
Monte Carlo on manifolds in high dimensions
Monte Carlo on manifolds in high dimensions
Kerun Xu
Miranda C. Holmes-Cerfon
53
2
0
21 Aug 2023
Learning Rate Free Sampling in Constrained Domains
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock
Lester W. Mackey
Christopher Nemeth
78
2
0
24 May 2023
Sampling in Constrained Domains with Orthogonal-Space Variational
  Gradient Descent
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
Ruqi Zhang
Qiang Liu
Xin T. Tong
BDLDRL
52
12
0
12 Oct 2022
Generalized Fiducial Inference on Differentiable Manifolds
Generalized Fiducial Inference on Differentiable Manifolds
Alexander C. Murph
Jan Hannig
Jonathan P. Williams
59
3
0
30 Sep 2022
Monte Carlo with Soft Constraints: the Surface Augmented Sampler
Monte Carlo with Soft Constraints: the Surface Augmented Sampler
Ildebrando Magnani
56
0
0
12 Jun 2022
Stereographic Markov Chain Monte Carlo
Stereographic Markov Chain Monte Carlo
Jun Yang
K. Latuszyñski
Gareth O. Roberts
82
14
0
24 May 2022
Dimension-independent Markov chain Monte Carlo on the sphere
Dimension-independent Markov chain Monte Carlo on the sphere
H. Lie
Daniel Rudolf
Björn Sprungk
T. Sullivan
80
6
0
22 Dec 2021
Better Training using Weight-Constrained Stochastic Dynamics
Better Training using Weight-Constrained Stochastic Dynamics
Benedict Leimkuhler
Tiffany J. Vlaar
Timothée Pouchon
Amos Storkey
43
9
0
20 Jun 2021
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
77
17
0
06 May 2021
Measure estimation on manifolds: an optimal transport approach
Measure estimation on manifolds: an optimal transport approach
Vincent Divol
OT
175
21
0
15 Feb 2021
Simulating sticky particles: A Monte Carlo method to sample a
  stratification
Simulating sticky particles: A Monte Carlo method to sample a stratification
Miranda C. Holmes-Cerfon
51
10
0
21 Dec 2019
Manifold Markov chain Monte Carlo methods for Bayesian inference in
  diffusion models
Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models
Matthew M. Graham
Alexandre Hoang Thiery
A. Beskos
67
16
0
06 Dec 2019
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
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