The pseudo-marginal approach for efficient Monte Carlo computations

31 March 2009

Papers citing "The pseudo-marginal approach for efficient Monte Carlo computations"

11 / 11 papers shown

Title
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo João Loula Benjamin LeBrun Li Du Ben Lipkin Clemente Pasti ... Ryan Cotterel Vikash K. Mansinghka Alexander K. Lew Tim Vieira Timothy J. O'Donnell 75 4 0 17 Apr 2025
A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior Yibo Shi Braghadeesh Lakshminarayanan Cristian R. Rojas 132 0 0 08 Apr 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 175 2 0 17 Jan 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 123 13 0 03 Jan 2025
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics Hanming Yang A. Moretti Sebastian Macaluso Philippe Chlenski C. A. Naesseth I. Pe’er BDL 89 1 0 03 Jan 2025
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 71 0 0 31 Oct 2024
Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos Zheng Zhao Simo Särkkä Jens Sjölund Thomas B. Schön DiffM 76 6 0 22 May 2024
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems Adrien Corenflos Simo Särkkä 51 0 0 01 Mar 2023
Markov Chain Monte Carlo with the Integrated Nested Laplace Approximation V. Gómez‐Rubio H. Rue 52 69 0 26 Jan 2017
Sequential Monte Carlo with transformations R. Everitt Richard Culliford F. Medina-Aguayo Daniel J. Wilson 54 14 0 20 Dec 2016
Sampling hyperparameters in hierarchical models: improving on Gibbs for high-dimensional latent fields and large data sets R. Norton J. Christen C. Fox 49 7 0 21 Oct 2016