Asymptotic normality, concentration, and coverage of generalized
posteriors

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Asymptotic normality, concentration, and coverage of generalized posteriors

22 July 2019

Jeffrey W. Miller

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Papers citing "Asymptotic normality, concentration, and coverage of generalized posteriors"

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Title
Stability of Mean-Field Variational Inference Shunan Sheng Bohan Wu Alberto González-Sanz Marcel Nutz 18 0 0 09 Jun 2025
In-Context Parametric Inference: Point or Distribution Estimators? Sarthak Mittal Yoshua Bengio Nikolay Malkin Guillaume Lajoie 130 0 0 17 Feb 2025
Can a Bayesian Oracle Prevent Harm from an Agent? Yoshua Bengio Michael K. Cohen Nikolay Malkin Matt MacDermott Damiano Fornasiere Pietro Greiner Younesse Kaddar 123 9 0 09 Aug 2024
Generalized Posterior Calibration via Sequential Monte Carlo Sampler Masahiro Tanaka 100 2 0 25 Apr 2024
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances Austin R. Brown Galin L. Jones 70 3 0 12 Dec 2022
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences Mikolaj Kasprzak Ryan Giordano Tamara Broderick 70 4 0 29 Sep 2022
Statistical inference of random graphs with a surrogate likelihood function Dingbo Wu Fangzheng Xie 85 2 0 04 Jul 2022
Generalised Bayesian Inference for Discrete Intractable Likelihood Takuo Matsubara Jeremias Knoblauch F. Briol Chris J. Oates 110 19 0 16 Jun 2022
Parallel Tempering With a Variational Reference Nikola Surjanovic Saifuddin Syed Alexandre Bouchard-Côté Trevor Campbell 70 13 0 31 May 2022
Cutting feedback and modularized analyses in generalized Bayesian inference David T. Frazier David J. Nott 92 7 0 21 Feb 2022
Semiparametric discrete data regression with Monte Carlo inference and prediction Daniel R. Kowal Bo-Hong Wu 113 3 0 23 Oct 2021
Variational Bayes in State Space Models: Inferential and Predictive Accuracy David T. Frazier Rubén Loaiza-Maya G. Martin 63 13 0 23 Jun 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 80 80 0 15 Apr 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 105 8 0 13 Apr 2021
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 72 7 0 26 Oct 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 111 63 0 20 Jul 2020