MCMC using Hamiltonian dynamics

9 June 2012

Papers citing "MCMC using Hamiltonian dynamics"

31 / 1,031 papers shown

Title
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi Lawrence M. Murray 36 112 0 14 Jun 2013
Flexible sampling of discrete data correlations without the marginal distributions Freddie Kalaitzis Ricardo M. A. Silva 50 12 0 12 Jun 2013
Declarative Modeling and Bayesian Inference of Dark Matter Halos G. Kronberger 51 0 0 02 Jun 2013
Wormhole Hamiltonian Monte Carlo Shiwei Lan J. Streets B. Shahbaba 57 65 0 01 Jun 2013
Bayesian Computational Tools Christian P. Robert TPM 58 12 0 07 Apr 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers Ziyun Wang S. Mohamed Nando de Freitas 45 56 0 25 Feb 2013
Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors Sebastian J. Vollmer 59 32 0 09 Feb 2013
Lagrangian Dynamical Monte Carlo Shiwei Lan V. Stathopoulos B. Shahbaba Mark Girolami 57 45 0 15 Nov 2012
Random Utility Theory for Social Choice Hossein Azari Soufiani David C. Parkes Lirong Xia 60 150 0 11 Nov 2012
Parallel MCMC with Generalized Elliptical Slice Sampling Robert Nishihara Iain Murray Ryan P. Adams 51 79 0 28 Oct 2012
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation Anthony Lee Krzysztof Latuszynski 44 55 0 24 Oct 2012
Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics Marwan A. Mattar Allen R. Hanson Erik Learned-Miller 61 19 0 16 Oct 2012
Semisupervised Classifier Evaluation and Recalibration Peter Welinder Max Welling Pietro Perona 65 1 0 08 Oct 2012
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians Ari Pakman Liam Paninski 45 221 0 20 Aug 2012
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 61 153 0 18 Jun 2012
A Poisson convolution model for characterizing topical content with word frequency and exclusivity E. Airoldi Jonathan Bischof 54 7 0 18 Jun 2012
Hamiltonian Annealed Importance Sampling for partition function estimation Jascha Narain Sohl-Dickstein B. J. Culpepper 72 38 0 09 May 2012
How to view an MCMC simulation as a permutation, with applications to parallel simulation and improved importance sampling Radford M. Neal LRM 74 12 0 01 May 2012
A Level-Set Hit-and-Run Sampler for Quasi-Concave Distributions S. Jensen Dean Phillips Foster 74 3 0 18 Feb 2012
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation M. Blum M. Nunes D. Prangle S. Sisson 61 359 0 16 Feb 2012
Split HMC for Gaussian Process Models Shiwei Lan B. Shahbaba 66 2 0 19 Jan 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 52 4,226 0 18 Nov 2011
Bayesian Optimization for Adaptive MCMC Nimalan Mahendran Ziyun Wang F. Hamze Nando de Freitas 52 3 0 29 Oct 2011
Approximate Bayesian Computing for Spatial Extremes Robert J. Erhardt Richard L. Smith 74 44 0 19 Sep 2011
Bayesian Inference with Optimal Maps Tarek A. El-Moselhy Youssef M. Marzouk 54 289 0 07 Sep 2011
Split Hamiltonian Monte Carlo B. Shahbaba Shiwei Lan W. Johnson Radford M. Neal 55 91 0 29 Jun 2011
A Kernel Approach to Tractable Bayesian Nonparametrics Ferenc Huszár Simon Lacoste-Julien TPM 79 4 0 09 Mar 2011
Exact sampling for intractable probability distributions via a Bernoulli factory James M. Flegal Radu Herbei 59 23 0 16 Dec 2010
Discussion of "Riemann manifold Langevin and Hamiltonian Monte Carlo methods'' by M. Girolami and B. Calderhead L. Bornn Julien Cornebise G. Peters 96 6 0 30 Oct 2010
Dirichlet Process Mixtures of Generalized Linear Models Lauren Hannah David M. Blei Warrren B Powell 77 194 0 28 Sep 2009
Minimum Probability Flow Learning Jascha Narain Sohl-Dickstein P. Battaglino M. DeWeese 89 69 0 25 Jun 2009