MCMC using Hamiltonian dynamics

9 June 2012

Papers citing "MCMC using Hamiltonian dynamics"

50 / 1,031 papers shown

Title
Pseudo-extended Markov chain Monte Carlo Christopher Nemeth Fredrik Lindsten Maurizio Filippone J. Hensman 14 10 0 17 Aug 2017
Unbiased Markov chain Monte Carlo with couplings Pierre E. Jacob J. O'Leary Yves F. Atchadé 13 72 0 11 Aug 2017
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions Michalis K. Titsias BDL 14 23 0 04 Aug 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang M. Quiroz Robert Kohn Minh-Ngoc Tran M. Villani 25 62 0 02 Aug 2017
Complexity Results for MCMC derived from Quantitative Bounds Jun Yang Jeffrey S. Rosenthal 27 23 0 02 Aug 2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions C. Dawson Chaofan Huang Clayton T. Morrison 19 0 0 21 Jul 2017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 24 200 0 20 Jul 2017
Underdamped Langevin MCMC: A non-asymptotic analysis Xiang Cheng Niladri S. Chatterji Peter L. Bartlett Michael I. Jordan 25 293 0 12 Jul 2017
Malware in the Future? Forecasting of Analyst Detection of Cyber Events J. Bakdash Steve E. Hutchinson Erin G. Zaroukian L. Marusich Saravanan Thirumuruganathan C. Sample Blaine Hoffman Gautam Das 23 34 0 11 Jul 2017
6thSense: A Context-aware Sensor-based Attack Detector for Smart Devices A. Sikder Hidayet Aksu A. S. Uluagac AAML 43 120 0 30 Jun 2017
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 16 109 0 23 Jun 2017
Control Variates for Stochastic Gradient MCMC Jack Baker Paul Fearnhead E. Fox Christopher Nemeth BDL 17 101 0 16 Jun 2017
Variance bounding of delayed-acceptance kernels Chris Sherlock Anthony Lee 16 4 0 07 Jun 2017
Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy Sanjib Sharma 10 211 0 06 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard E. Turner VLM 18 71 0 01 Jun 2017
Advanced Bayesian Multilevel Modeling with the R Package brms Paul-Christian Burkner 19 1,871 0 31 May 2017
Efficient and principled score estimation with Nyström kernel exponential families Danica J. Sutherland Heiko Strathmann Michael Arbel A. Gretton 15 24 0 23 May 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard E. Turner 25 104 0 19 May 2017
Geometry and Dynamics for Markov Chain Monte Carlo Alessandro Barp François‐Xavier Briol A. Kennedy Mark Girolami AI4CE 15 31 0 08 May 2017
Riemann-Langevin Particle Filtering in Track-Before-Detect F. J. Garcia P. Mandal Melanie Bocquel A. Marques 19 13 0 01 May 2017
BDSAR: a new package on Bregman divergence for Bayesian simultaneous autoregressive models I. M. Danilevicz R. Ehlers 19 1 0 24 Apr 2017
Deep Relaxation: partial differential equations for optimizing deep neural networks Pratik Chaudhari Adam M. Oberman Stanley Osher Stefano Soatto G. Carlier 11 153 0 17 Apr 2017
Metropolis Sampling Luca Martino Victor Elvira 15 25 0 15 Apr 2017
Efficient parameter sampling for Markov jump processes Boqian Zhang Vinayak A. Rao 14 8 0 07 Apr 2017
Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs Kai Fan 17 1 0 28 Mar 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 78 222 0 06 Mar 2017
A Bayesian computer model analysis of Robust Bayesian analyses I. Vernon J. P. Gosling TPM 16 4 0 03 Mar 2017
Signal-based Bayesian Seismic Monitoring David A. Moore Stuart J. Russell 29 6 0 02 Mar 2017
Hessian corrections to Hybrid Monte Carlo T. House 11 0 0 27 Feb 2017
Bayesian Inference in the Presence of Intractable Normalizing Functions Jaewoo Park M. Haran TPM 25 71 0 23 Jan 2017
Nonreversible Langevin Samplers: Splitting Schemes, Analysis and Implementation A. B. Duncan G. Pavliotis K. Zygalakis 19 25 0 16 Jan 2017
Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods Ming Teng F. Nathoo T. Johnson 19 37 0 03 Jan 2017
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 B. Shahbaba 14 26 0 24 Dec 2016
Modified Cholesky Riemann Manifold Hamiltonian Monte Carlo: Exploiting Sparsity for Fast Sampling of High-dimensional Targets T. S. Kleppe 6 9 0 13 Dec 2016
Asynchronous Stochastic Gradient MCMC with Elastic Coupling Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter BDL 21 1 0 02 Dec 2016
Measuring Sample Quality with Diffusions Jackson Gorham Andrew B. Duncan Sandra Jeanne Vollmer Lester W. Mackey 22 116 0 21 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 11 223 0 14 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 20 763 0 06 Nov 2016
An Efficient Minibatch Acceptance Test for Metropolis-Hastings Daniel Seita Xinlei Pan Haoyu Chen John F. Canny 34 42 0 19 Oct 2016
phylodyn: an R package for phylodynamic simulation and inference Michael D. Karcher Julia A. Palacios Shiwei Lan V. Minin 8 54 0 18 Oct 2016
Network Structure Inference, A Survey: Motivations, Methods, and Applications Ivan Brugere Brian Gallagher T. Berger-Wolf 16 80 0 03 Oct 2016
Relativistic Monte Carlo Xiaoyu Lu Valerio Perrone Leonard Hasenclever Yee Whye Teh Sebastian J. Vollmer BDL 14 39 0 14 Sep 2016
Time Series Analysis of fMRI Data: Spatial Modelling and Bayesian Computation Ming Teng T. Johnson F. Nathoo 9 7 0 07 Sep 2016
The Bayesian SLOPE A. Sepehri 19 3 0 31 Aug 2016
Gaussian Process Models for Mortality Rates and Improvement Factors M. Ludkovski Jimmy Risk Howard Zail AI4TS 8 21 0 30 Aug 2016
On the application of higher order symplectic integrators in Hamiltonian Monte Carlo Janne Mannseth T. S. Kleppe H. Skaug 19 3 0 25 Aug 2016
Bayesian Mendelian Randomization C. Berzuini Hui Guo S. Burgess L. Bernardinelli 11 2 0 09 Aug 2016
Limit theorems for the Zig-Zag process J. Bierkens Andrew Duncan 25 41 0 29 Jul 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 56 232 0 11 Jul 2016
Magnetic Hamiltonian Monte Carlo Nilesh Tripuraneni Mark Rowland Zoubin Ghahramani Richard E. Turner 14 35 0 10 Jul 2016