Finite mixture models do not reliably learn the number of components

8 July 2020

Papers citing "Finite mixture models do not reliably learn the number of components"

20 / 20 papers shown

Title
Consistency of mixture models with a prior on the number of components Jeffrey W. Miller 54 72 0 06 May 2022
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 42 22 0 16 Jul 2020
A generalized Bayes framework for probabilistic clustering T. Rigon A. Herring David B. Dunson 22 25 0 09 Jun 2020
Robust Inference and Model Criticism Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller 69 15 0 15 Dec 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 54 105 0 03 Apr 2019
On posterior contraction of parameters and interpretability in Bayesian mixture modeling Aritra Guha Nhat Ho X. Nguyen 40 56 0 15 Jan 2019
Principles of Bayesian Inference using General Divergence Criteria Jack Jewson Jim Q. Smith Chris Holmes 20 88 0 26 Feb 2018
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering Bryon Aragam Chen Dan Eric Xing Pradeep Ravikumar 36 30 0 12 Feb 2018
Flexible Models for Microclustering with Application to Entity Resolution Giacomo Zanella Brenda Betancourt Hanna M. Wallach Jeffrey W. Miller Abbas Zaidi Beka Steorts 30 42 0 31 Oct 2016
Robust Probabilistic Modeling with Bayesian Data Reweighting Yixin Wang A. Kucukelbir David M. Blei OOD NoLa 25 12 0 13 Jun 2016
Probabilistic community detection with unknown number of communities J. Geng A. Bhattacharya D. Pati 63 75 0 25 Feb 2016
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 69 265 0 11 Dec 2014
On Posterior Concentration in Misspecified Models R. Ramamoorthi Karthik Sriram Ryan Martin 52 39 0 17 Dec 2013
On the Bayes-optimality of F-measure maximizers Willem Waegeman Krzysztof Dembczyñski Arkadiusz Jachnik Weiwei Cheng Eyke Hullermeier 346 105 0 17 Oct 2013
Inconsistency of Pitman-Yor process mixtures for the number of components Jeffrey W. Miller M. Harrison 50 101 0 30 Aug 2013
A General Framework for Updating Belief Distributions Pier Giovanni Bissiri Chris Holmes S. Walker 92 472 0 27 Jun 2013
A simple example of Dirichlet process mixture inconsistency for the number of components Jeffrey W. Miller M. Harrison 42 158 0 12 Jan 2013
Convergence of latent mixing measures in finite and infinite mixture models X. Nguyen 74 183 0 15 Sep 2011
Bayesian finite mixtures: a note on prior specification and posterior computation Agostino Nobile 81 21 0 03 Nov 2007
Kullback Leibler property of kernel mixture priors in Bayesian density estimation Yuefeng Wu S. Ghosal 89 108 0 15 Oct 2007