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Wormhole Hamiltonian Monte Carlo

Wormhole Hamiltonian Monte Carlo

1 June 2013
Shiwei Lan
J. Streets
Babak Shahbaba
ArXivPDFHTML

Papers citing "Wormhole Hamiltonian Monte Carlo"

10 / 10 papers shown
Title
Symmetry-driven embedding of networks in hyperbolic space
Symmetry-driven embedding of networks in hyperbolic space
Simon Lizotte
Jean-Gabriel Young
Antoine Allard
37
1
0
15 Jun 2024
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
47
4
0
21 Apr 2023
Sampling using Adaptive Regenerative Processes
Sampling using Adaptive Regenerative Processes
Hector McKimm
Andi Q. Wang
M. Pollock
Christian P. Robert
Gareth O. Roberts
26
1
0
18 Oct 2022
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Haik Manukian
Y. Pei
Sean R. B. Bearden
M. Di Ventra
14
11
0
15 Jan 2020
A Metropolis-class sampler for targets with non-convex support
A Metropolis-class sampler for targets with non-convex support
John Moriarty
Jure Vogrinc
Alessandro Zocca
19
5
0
23 May 2019
Modified Hamiltonian Monte Carlo for Bayesian inference
Modified Hamiltonian Monte Carlo for Bayesian inference
Tijana Radivojević
E. Akhmatskaya
24
31
0
13 Jun 2017
Boosting Variational Inference
Boosting Variational Inference
Fangjian Guo
Xiangyu Wang
Kai Fan
Tamara Broderick
David B. Dunson
BDL
27
75
0
17 Nov 2016
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for
  Bayesian Inverse Problems
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems
Shiwei Lan
T. Bui-Thanh
M. Christie
Mark Girolami
39
56
0
22 Jul 2015
Compressible Generalized Hybrid Monte Carlo
Compressible Generalized Hybrid Monte Carlo
Youhan Fang
J. Sanz-Serna
R. Skeel
35
61
0
28 Feb 2014
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
189
3,268
0
09 Jun 2012
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