MCMC using Hamiltonian dynamics

9 June 2012

Papers citing "MCMC using Hamiltonian dynamics"

50 / 1,031 papers shown

Title
A Menu-Driven Software Package of Bayesian Nonparametric (and Parametric) Mixed Models for Regression Analysis and Density Estimation G. Karabatsos 24 19 0 17 Jun 2015
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 22 257 0 14 Jun 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 28 223 0 09 Jun 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families Heiko Strathmann Dino Sejdinovic Samuel Livingstone Z. Szabó A. Gretton BDL 19 76 0 08 Jun 2015
Approximate maximum likelihood estimation using data-cloning ABC Umberto Picchini Rachele Anderson 20 13 0 23 May 2015
A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation A. Attia Vishwas Rao Adrian Sandu 21 19 0 18 May 2015
Fast Differentially Private Matrix Factorization Ziqi Liu Yu-Xiang Wang Alex Smola FedML 35 124 0 06 May 2015
Comparison of hit-and-run, slice sampling and random walk Metropolis Daniel Rudolf Mario Ullrich 25 13 0 04 May 2015
Fast Sampling for Bayesian Max-Margin Models Wenbo Hu Jun Zhu Bo Zhang BDL 25 0 0 27 Apr 2015
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space Cheng Zhang B. Shahbaba Hongkai Zhao 22 15 0 06 Apr 2015
Automated Parameter Blocking for Efficient Markov-Chain Monte Carlo Sampling Daniel Turek P. de Valpine C. Paciorek Clifford Anderson-Bergman 27 26 0 19 Mar 2015
Integral geometry for Markov chain Monte Carlo: overcoming the curse of search-subspace dimensionality Oren Mangoubi Alan Edelman 28 3 0 12 Mar 2015
Hamiltonian ABC Edward Meeds R. Leenders Max Welling BDL 35 30 0 06 Mar 2015
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC Sungjin Ahn Anoop Korattikara Balan Nathan Liu Suju Rajan Max Welling BDL 33 59 0 05 Mar 2015
Marginalizing Gaussian Process Hyperparameters using Sequential Monte Carlo Andreas Svensson J. Dahlin Thomas B. Schon GP 42 28 0 06 Feb 2015
Adaptive step size selection for Hessian-based manifold Langevin samplers T. S. Kleppe 25 14 0 29 Jan 2015
Expander Framework for Generating High-Dimensional GLM Gradient and Hessian from Low-Dimensional Base Distributions: R Package RegressionFactory Alireza S. Mahani M. Sharabiani 37 1 0 25 Jan 2015
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics Sebastian J. Vollmer K. Zygalakis and Yee Whye Teh 35 49 0 02 Jan 2015
A theoretical basis for efficient computations with noisy spiking neurons Zeno Jonke Stefan Habenschuss Wolfgang Maass 22 7 0 18 Dec 2014
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 40 159 0 17 Dec 2014
Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors Ningning Zhao Adrian Basarab Denis Kouamé J. Tourneret 45 46 0 08 Dec 2014
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation Scott W. Linderman Matthew J. Johnson M. Wilson Z. Chen 30 9 0 27 Nov 2014
Optimizing The Integrator Step Size for Hamiltonian Monte Carlo M. Betancourt Simon Byrne Mark Girolami 48 76 0 24 Nov 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 27 83 0 24 Nov 2014
Bayesian Inference for Generalized Extreme Value Distributions via Hamiltonian Monte Carlo M. Hartmann R. Ehlers 28 9 0 16 Oct 2014
Augmentation Schemes for Particle MCMC Paul Fearnhead Loukia Meligkotsidou 36 19 0 29 Aug 2014
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior Yutian Chen Max Welling 36 11 0 09 Aug 2014
Curvature and Concentration of Hamiltonian Monte Carlo in High Dimensions S. Holmes Simon Rubinstein-Salzedo C. Seiler 56 12 0 04 Jul 2014
Divide-and-Conquer with Sequential Monte Carlo Fredrik Lindsten A. M. Johansen C. A. Naesseth Bonnie Kirkpatrick Thomas B. Schon J. Aston Alexandre Bouchard-Coté 22 45 0 19 Jun 2014
Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection Longhai Li W. Yao BDL 38 13 0 13 May 2014
Bayesian Neural Networks for Genetic Association Studies of Complex Disease Andrew L. Beam A. Motsinger-Reif Jon Doyle BDL 34 34 0 15 Apr 2014
Information-geometric Markov Chain Monte Carlo methods using Diffusions Samuel Livingstone Mark Girolami DiffM 42 45 0 31 Mar 2014
A reversible infinite HMM using normalised random measures Konstantina Palla David A. Knowles Zoubin Ghahramani 33 15 0 17 Mar 2014
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events Drausin Wulsin E. Fox B. Litt 40 21 0 27 Feb 2014
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models Varun Jampani Sebastian Nowozin M. Loper Peter V. Gehler 48 45 0 04 Feb 2014
Scalable Rejection Sampling for Bayesian Hierarchical Models Michael Braun P. Damien 45 12 0 31 Jan 2014
Tempering by Subsampling Jan Willem van de Meent Brooks Paige Frank D. Wood TPM 54 9 0 28 Jan 2014
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin Simo Särkkä 52 210 0 21 Jan 2014
Bayesian Conditional Density Filtering S. Qamar Rajarshi Guhaniyogi David B. Dunson 43 11 0 15 Jan 2014
Learning Generative Models with Visual Attention Yichuan Tang Nitish Srivastava Ruslan Salakhutdinov DiffM 33 85 0 20 Dec 2013
A method for importance sampling through Markov chain Monte Carlo with post sampling variational estimate A. Arul Kannan K. R. Iyer 48 1 0 06 Dec 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions Ari Pakman Liam Paninski 51 80 0 09 Nov 2013
Discussion of "Geodesic Monte Carlo on Embedded Manifolds" Simon Byrne Mark Girolami P. Diaconis C. Seiler Susan P. Holmes ... Marcelo Pereyra B. Shahbaba Shiwei Lan J. Streets Daniel P. Simpson 46 0 0 05 Nov 2013
Particle Metropolis-Hastings using gradient and Hessian information J. Dahlin Fredrik Lindsten Thomas B. Schon 42 46 0 04 Nov 2013
On the efficiency of pseudo-marginal random walk Metropolis algorithms Chris Sherlock Alexandre Hoang Thiery Gareth O. Roberts Jeffrey S. Rosenthal 35 190 0 27 Sep 2013
The potential and perils of preprocessing: Building new foundations A. Blocker X. Meng 38 28 0 26 Sep 2013
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions Shiwei Lan Bo Zhou B. Shahbaba 47 57 0 17 Sep 2013
Adaptive Metropolis Algorithm Using Variational Bayesian Adaptive Kalman Filter I. Mbalawata Simo Särkkä M. Vihola H. Haario BDL 38 20 0 27 Aug 2013
High-dimensional Feature Selection Using Hierarchical Bayesian Logistic Regression with Heavy-tailed Priors Longhai Li W. Yao 35 0 0 21 Aug 2013
Bayesian Fusion of Multi-Band Images Qi Wei N. Dobigeon J. Tourneret 47 213 0 23 Jul 2013