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Optimal Bayesian estimation of Gaussian mixtures with growing number of
  components
v1v2 (latest)

Optimal Bayesian estimation of Gaussian mixtures with growing number of components

Bernoulli (Bernoulli), 2020
17 July 2020
Ilsang Ohn
Lizhen Lin
ArXiv (abs)PDFHTML

Papers citing "Optimal Bayesian estimation of Gaussian mixtures with growing number of components"

9 / 9 papers shown
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Yan Li
Guangyi Chen
Yunlong Deng
Zijian Li
Zeyu Tang
Anpeng Wu
Kun Zhang
CML
208
0
0
22 Jul 2025
Consistency of Graphical Model-based Clustering: Robust Clustering using
  Bayesian Spanning Forest
Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest
Yu Zheng
Leo L. Duan
Arkaprava Roy
320
0
0
27 Sep 2024
Bayesian nonparametric modeling of latent partitions via Stirling-gamma
  priors
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priorsBayesian Analysis (Bayes. Anal.), 2023
Alessandro Zito
T. Rigon
David B. Dunson
203
4
0
04 Jun 2023
On Excess Mass Behavior in Gaussian Mixture Models with
  Orlicz-Wasserstein Distances
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein DistancesInternational Conference on Machine Learning (ICML), 2023
Aritra Guha
N. Ho
X. Nguyen
247
8
0
27 Jan 2023
Bayesian mixture models (in)consistency for the number of clusters
Bayesian mixture models (in)consistency for the number of clustersScandinavian Journal of Statistics (Scand. J. Stat.), 2022
Louise Alamichel
D. Bystrova
Julyan Arbel
Guillaume Kon Kam King
613
8
0
25 Oct 2022
Bayesian nonparametric mixture inconsistency for the number of
  components: How worried should we be in practice?
Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?
Yannis Chaumeny
Johan Van der Molen Moris
A. Davison
Paul D. W. Kirk
309
3
0
29 Jul 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions
Bayesian Sparse Gaussian Mixture Model in High Dimensions
Dapeng Yao
Fangzheng Xie
Yanxun Xu
429
1
0
21 Jul 2022
Clustering consistency with Dirichlet process mixtures
Clustering consistency with Dirichlet process mixturesBiometrika (Biometrika), 2022
Filippo Ascolani
Antonio Lijoi
Giovanni Rebaudo
T. Rigon
281
47
0
25 May 2022
Refined Convergence Rates for Maximum Likelihood Estimation under Finite
  Mixture Models
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture ModelsInternational Conference on Machine Learning (ICML), 2022
Tudor Manole
Nhat Ho
308
26
0
17 Feb 2022
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