Likelihood-free approximate Gibbs sampling

11 June 2019

Papers citing "Likelihood-free approximate Gibbs sampling"

12 / 12 papers shown

Title
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 281 2 0 17 Jan 2025
Contrastive Neural Ratio Estimation for Simulation-based Inference Benjamin Kurt Miller Christoph Weniger Patrick Forré 71 13 0 11 Oct 2022
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localisation Christopher C. Drovandi David J. Nott David T. Frazier 100 5 0 14 Jul 2022
Modularized Bayesian analyses and cutting feedback in likelihood-free inference Atlanta Chakraborty David J. Nott Christopher C. Drovandi David T. Frazier Scott A. Sisson 66 14 0 18 Mar 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference Poornima Ramesh Jan-Matthis Lueckmann Jan Boelts Álvaro Tejero-Cantero David S. Greenberg P. J. Gonçalves Jakob H. Macke GAN 81 37 0 12 Mar 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 80 45 0 09 Feb 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 104 13 0 22 Jun 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 265 198 0 12 Jan 2021
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 95 17 0 14 Apr 2020
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 86 14 0 26 Aug 2019
Component-wise approximate Bayesian computation via Gibbs-like steps Grégoire Clarté Christian P. Robert Robin J. Ryder Julien Stoehr 62 30 0 31 May 2019