Bayesian Sparse Gaussian Mixture Model in High Dimensions

21 July 2022

Papers citing "Bayesian Sparse Gaussian Mixture Model in High Dimensions"

19 / 19 papers shown

Title
Consistency of mixture models with a prior on the number of components Jeffrey W. Miller 71 72 0 06 May 2022
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence Joshua Agterberg Zachary Lubberts Carey Priebe 70 21 0 27 May 2021
Optimal Bayesian estimation of Gaussian mixtures with growing number of components Ilsang Ohn Lizhen Lin 52 17 0 17 Jul 2020
Optimal estimation of high-dimensional location Gaussian mixtures Natalie Doss Yihong Wu Pengkun Yang Harrison H. Zhou 47 21 0 14 Feb 2020
Optimality of Spectral Clustering in the Gaussian Mixture Model Matthias Löffler A. Zhang Harrison H. Zhou 110 85 0 01 Nov 2019
Variational Bayes for high-dimensional linear regression with sparse priors Kolyan Ray Botond Szabó 69 99 0 15 Apr 2019
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 91 50 0 01 Feb 2018
A detailed treatment of Doob's theorem Jeffrey W. Miller 60 29 0 09 Jan 2018
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding G. Linderman M. Rachh J. Hoskins Stefan Steinerberger Y. Kluger 65 435 0 25 Dec 2017
Phase Transitions for High Dimensional Clustering and Related Problems Jiashun Jin Z. Ke Wanjie Wang 73 51 0 24 Feb 2015
Influential Feature PCA for high dimensional clustering Jiashun Jin Wanjie Wang 120 80 0 20 Jul 2014
A useful variant of the Davis--Kahan theorem for statisticians Yi Yu Tengyao Wang R. Samworth 95 577 0 04 May 2014
Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices Dan Yang Zongming Ma A. Buja 86 29 0 02 May 2014
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 170 380 0 04 Mar 2014
Dirichlet-Laplace priors for optimal shrinkage A. Bhattacharya D. Pati Natesh S. Pillai David B. Dunson 97 440 0 21 Jan 2014
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation Martin Azizyan Aarti Singh Larry A. Wasserman 102 64 0 09 Jun 2013
Minimax risk of matrix denoising by singular value thresholding D. Donoho M. Gavish 86 126 0 08 Apr 2013
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences I. Castillo A. van der Vaart 134 251 0 06 Nov 2012
A Tutorial on Spectral Clustering U. V. Luxburg 290 10,537 0 01 Nov 2007