On Posterior Concentration in Misspecified Models

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On Posterior Concentration in Misspecified Models

17 December 2013

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Papers citing "On Posterior Concentration in Misspecified Models"

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Title
A comparison of learning rate selection methods in generalized Bayesian inference Pei-Shien Wu Ryan Martin BDL 76 48 0 21 Dec 2020
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 124 29 0 08 Dec 2020
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 130 16 0 19 Oct 2020
Finite mixture models do not reliably learn the number of components Diana Cai Trevor Campbell Tamara Broderick 66 23 0 08 Jul 2020
Practical calibration of the temperature parameter in Gibbs posteriors Lucie Perrotta 50 3 0 22 Apr 2020
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 121 110 0 03 Nov 2016
Fast rates in statistical and online learning T. Erven Peter Grünwald Nishant A. Mehta Mark D. Reid Robert C. Williamson 218 109 0 09 Jul 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 147 268 0 11 Dec 2014