Generalized Posteriors in Approximate Bayesian Computation

17 November 2020

Papers citing "Generalized Posteriors in Approximate Bayesian Computation"

19 / 19 papers shown

Title
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 40 6 0 05 Jun 2024
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 26 10 0 01 Nov 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 43 30 0 25 May 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 24 11 0 24 May 2023
Robust and Scalable Bayesian Online Changepoint Detection Matias Altamirano F. Briol Jeremias Knoblauch 30 12 0 09 Feb 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 25 10 0 31 Jan 2023
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 27 36 0 12 Oct 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 25 34 0 05 Sep 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation Arnaud Delaunoy Joeri Hermans François Rozet Antoine Wehenkel Gilles Louppe 39 30 0 29 Aug 2022
Computing Bayes: From Then 'Til Now' G. Martin David T. Frazier Christian P. Robert 33 15 0 01 Aug 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 23 42 0 09 Feb 2022
Black-box Bayesian inference for economic agent-based models Joel Dyer Patrick W Cannon J. Farmer Sebastian M. Schmon 18 23 0 01 Feb 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 39 26 0 20 Dec 2021
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 24 34 0 16 Dec 2021
Approximate Bayesian Computation via Classification Yuexi Wang Tetsuya Kaji Veronika Rockova 19 4 0 22 Nov 2021
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans Arnaud Delaunoy François Rozet Antoine Wehenkel Volodimir Begy Gilles Louppe 64 38 0 13 Oct 2021
Approximate Bayesian Computation with Path Signatures Joel Dyer Patrick W Cannon Sebastian M. Schmon 19 15 0 23 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 29 12 0 22 Jun 2021
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC Marko Jarvenpaa J. Corander 6 3 0 08 Apr 2021