The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

11 July 2016

Papers citing "The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data"

21 / 21 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 45 0 0 08 May 2025
Numerical Generalized Randomized Hamiltonian Monte Carlo for piecewise smooth target densities Jimmy Huy Tran T. S. Kleppe BDL 38 0 0 25 Apr 2025
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 23 8 0 03 May 2024
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators B. Leimkuhler Daniel Paulin P. Whalley 23 5 0 14 Jun 2023
Methods and applications of PDMP samplers with boundary conditions J. Bierkens Sebastiano Grazzi Gareth O. Roberts Moritz Schauer 10 7 0 14 Mar 2023
Sampling using Adaptive Regenerative Processes Hector McKimm Andi Q. Wang M. Pollock Christian P. Robert Gareth O. Roberts 10 1 0 18 Oct 2022
Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process G. Chennetier Hassane Chraïbi A. Dutfoy Josselin Garnier 11 2 0 17 Sep 2022
Computing Bayes: From Then 'Til Now' G. Martin David T. Frazier Christian P. Robert 20 15 0 01 Aug 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 10 25 0 20 Mar 2022
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity Jian Huang Yuling Jiao Lican Kang Xu Liao Jin Liu Yanyan Liu 21 28 0 21 Jun 2021
Divide-and-Conquer Bayesian Inference in Hidden Markov Models Chunlei Wang Sanvesh Srivastava 22 9 0 30 May 2021
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains M. Peruzzi Sudipto Banerjee Andrew O. Finley 25 52 0 25 Mar 2020
A piecewise deterministic Monte Carlo method for diffusion bridges J. Bierkens Sebastiano Grazzi Frank van der Meulen Moritz Schauer DiffM 6 22 0 16 Jan 2020
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport L. Duan OT 16 11 0 24 Jul 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 11 135 0 16 Jul 2019
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario Christophe Andrieu Samuel Livingstone 25 28 0 14 Jun 2019
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference Jonathan H. Huggins Ryan P. Adams Tamara Broderick 11 31 0 26 Sep 2017
Exponential Ergodicity of the Bouncy Particle Sampler George Deligiannidis Alexandre Bouchard-Coté Arnaud Doucet 13 49 0 12 May 2017
Generalized and hybrid Metropolis-Hastings overdamped Langevin algorithms R. Poncet 20 11 0 19 Jan 2017
Quantifying the accuracy of approximate diffusions and Markov chains Jonathan H. Huggins James Y. Zou 27 29 0 20 May 2016
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,260 0 09 Jun 2012