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Identifiability of Nonparametric Mixture Models and Bayes Optimal
  Clustering

Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering

12 February 2018
Bryon Aragam
Chen Dan
Eric Xing
Pradeep Ravikumar
ArXivPDFHTML

Papers citing "Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering"

7 / 7 papers shown
Title
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Bryon Aragam
Ruiyi Yang
45
0
0
29 Oct 2024
Sample Complexity Using Infinite Multiview Models
Sample Complexity Using Infinite Multiview Models
Robert A. Vandermeulen
19
3
0
08 Feb 2023
Generalized Identifiability Bounds for Mixture Models with Grouped
  Samples
Generalized Identifiability Bounds for Mixture Models with Grouped Samples
Robert A. Vandermeulen
René Saitenmacher
28
2
0
22 Jul 2022
Identifiability of deep generative models without auxiliary information
Identifiability of deep generative models without auxiliary information
Bohdan Kivva
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
DRL
26
49
0
20 Jun 2022
Uniform Consistency in Nonparametric Mixture Models
Uniform Consistency in Nonparametric Mixture Models
Bryon Aragam
Ruiyi Yang
26
6
0
31 Aug 2021
Deep Divergence-Based Approach to Clustering
Deep Divergence-Based Approach to Clustering
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
L. Livi
Arnt-Børre Salberg
Robert Jenssen
31
61
0
13 Feb 2019
Deep Active Learning for Anomaly Detection
Deep Active Learning for Anomaly Detection
Tiago Pimentel
Marianne Monteiro
Adriano Veloso
N. Ziviani
30
39
0
23 May 2018
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