The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method

8 October 2015

Papers citing "The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method"

20 / 120 papers shown

Title
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions A. Sepehri J. Marković 30 4 0 20 Nov 2017
Binary Bouncy Particle Sampler Ari Pakman 27 7 0 02 Nov 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference Jonathan H. Huggins Ryan P. Adams Tamara Broderick 19 32 0 26 Sep 2017
A Discrete Bouncy Particle Sampler Chris Sherlock Alexandre Hoang Thiery 19 22 0 17 Jul 2017
Generalized Bouncy Particle Sampler Changye Wu Christian P. Robert 25 25 0 15 Jun 2017
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 14 31 0 13 Jun 2017
A novel algorithmic approach to Bayesian Logic Regression A. Hubin G. Storvik F. Frommlet 25 16 0 22 May 2017
Exponential Ergodicity of the Bouncy Particle Sampler George Deligiannidis Alexandre Bouchard-Coté Arnaud Doucet 19 49 0 12 May 2017
Advanced Multilevel Monte Carlo Methods Ajay Jasra K. Law C. Suciu 22 14 0 24 Apr 2017
Forward Event-Chain Monte Carlo: Fast sampling by randomness control in irreversible Markov chains Manon Michel Alain Durmus S. Sénécal 16 33 0 27 Feb 2017
Optimal Scaling of the MALA algorithm with Irreversible Proposals for Gaussian targets M. Ottobre Natesh S. Pillai K. Spiliopoulos 21 9 0 06 Feb 2017
Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains J. Bierkens Alexandre Bouchard-Coté Arnaud Doucet Andrew B. Duncan Paul Fearnhead Thibaut Lienart Gareth O. Roberts Sebastian J. Vollmer 24 55 0 16 Jan 2017
On the Pitfalls of Nested Monte Carlo Tom Rainforth R. Cornish Hongseok Yang Frank D. Wood 26 9 0 03 Dec 2016
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo Paul Fearnhead J. Bierkens M. Pollock Gareth O. Roberts 25 106 0 23 Nov 2016
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 25 18 0 12 Sep 2016
Stochastic Bouncy Particle Sampler Ari Pakman D. Gilboa David Carlson Liam Paninski 14 32 0 03 Sep 2016
Limit theorems for the Zig-Zag process J. Bierkens Andrew Duncan 27 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 58 231 0 11 Jul 2016
The block-Poisson estimator for optimally tuned exact subsampling MCMC M. Quiroz Minh-Ngoc Tran M. Villani Robert Kohn Khue-Dung Dang 20 25 0 27 Mar 2016
On Markov chain Monte Carlo methods for tall data Rémi Bardenet Arnaud Doucet Chris Holmes 26 273 0 11 May 2015