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The Boomerang Sampler

24 June 2020

Papers citing "The Boomerang Sampler"

24 / 24 papers shown

Title
Adaptive Stereographic MCMC Cameron Bell Krzystof Łatuszyński Gareth O. Roberts 65 1 0 21 Aug 2024
Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers Paul Fearnhead Sebastiano Grazzi Chris Nemeth Gareth O. Roberts 75 0 0 27 Jun 2024
Debiasing Piecewise Deterministic Markov Process samplers using couplings Adrien Corenflos Matthew Sutton Nicolas Chopin 54 1 0 27 Jun 2023
Methods and applications of PDMP samplers with boundary conditions J. Bierkens Sebastiano Grazzi Gareth O. Roberts Moritz Schauer 72 8 0 14 Mar 2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks Ethan Goan Dimitri Perrin Kerrie Mengersen Clinton Fookes 67 0 0 17 Feb 2023
Federated Bayesian Computation via Piecewise Deterministic Markov Processes J. Bierkens Andrew Duncan FedML 31 1 0 25 Oct 2022
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions Afonso S. Bandeira Antoine Maillard Richard Nickl Sven Wang 83 10 0 05 Sep 2022
Automatic Zig-Zag sampling in practice Alice Corbella S. Spencer Gareth O. Roberts 67 20 0 22 Jun 2022
Continuously-Tempered PDMP Samplers Matthew Sutton R. Salomone Augustin Chevallier Paul Fearnhead 58 1 0 19 May 2022
The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo Yu Han Kazuyuki Nakamura 50 2 0 18 Nov 2021
PDMP Monte Carlo methods for piecewise-smooth densities Augustin Chevallier Samuel Power Andi Q. Wang Paul Fearnhead 56 11 0 10 Nov 2021
Applied Measure Theory for Probabilistic Modeling Chad Scherrer Moritz Schauer 37 1 0 01 Oct 2021
Geometric convergence of elliptical slice sampling Viacheslav Natarovskii Daniel Rudolf Björn Sprungk 68 12 0 07 May 2021
Speed Up Zig-Zag G. Vasdekis Gareth O. Roberts 52 11 0 30 Mar 2021
Sticky PDMP samplers for sparse and local inference problems J. Bierkens Sebastiano Grazzi Frank van der Meulen Moritz Schauer 82 15 0 15 Mar 2021
Adaptive schemes for piecewise deterministic Monte Carlo algorithms Andrea Bertazzi J. Bierkens 46 10 0 27 Dec 2020
Complexity of zigzag sampling algorithm for strongly log-concave distributions Jianfeng Lu Lihan Wang 62 6 0 21 Dec 2020
Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods Christophe Andrieu P. Dobson Andi Q. Wang 74 13 0 18 Nov 2020
Reversible Jump PDMP Samplers for Variable Selection Augustin Chevallier Paul Fearnhead Matthew Sutton 65 18 0 22 Oct 2020
On explicit $L^2$ -convergence rate estimate for piecewise deterministic Markov processes in MCMC algorithms Jianfeng Lu Lihan Wang 76 27 0 29 Jul 2020
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates T. S. Kleppe 54 12 0 04 May 2020
A piecewise deterministic Monte Carlo method for diffusion bridges J. Bierkens Sebastiano Grazzi Frank van der Meulen Moritz Schauer DiffM 83 22 0 16 Jan 2020
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain Monte Carlo P. Holderrieth 93 10 0 20 Oct 2019
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 98 18 0 12 Sep 2016