Scalable Semi-Modular Inference with Variational Meta-Posteriors

1 April 2022

Papers citing "Scalable Semi-Modular Inference with Variational Meta-Posteriors"

9 / 9 papers shown

Title
Sequential Monte Carlo for Cut-Bayesian Posterior Computation Joseph Mathews Giridhar Gopalan James Gattiker Sean Smith Devin Francom 34 0 0 09 Mar 2024
A General Space of Belief Updates for Model Misspecification in Bayesian Networks Tianjin Li 17 0 0 09 Nov 2023
Cutting Feedback in Misspecified Copula Models Michael Stanley Smith Weichang Yu David J. Nott David T. Frazier 24 1 0 05 Oct 2023
Scalable and adaptive variational Bayes methods for Hawkes processes Déborah Sulem Vincent Rivoirard Judith Rousseau 42 0 0 01 Dec 2022
A General Framework for Cutting Feedback within Modularized Bayesian Inference Yang Liu Robert J. B. Goudie 19 8 0 07 Nov 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 33 14 0 18 Mar 2022
Cutting feedback and modularized analyses in generalized Bayesian inference David T. Frazier David J. Nott 30 7 0 21 Feb 2022
Variational inference for cutting feedback in misspecified models Xue Yu David J. Nott M. Smith 26 13 0 25 Aug 2021
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 44 6 0 02 Jun 2020