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Random Partition Models for Microclustering Tasks

Random Partition Models for Microclustering Tasks

4 April 2020
Brenda Betancourt
Giacomo Zanella
R. Steorts
ArXiv (abs)PDFHTML

Papers citing "Random Partition Models for Microclustering Tasks"

11 / 11 papers shown
Title
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks
Valentin Kilian
Benjamin Guedj
François Caron
37
0
0
19 May 2025
A Primer on the Data Cleaning Pipeline
A Primer on the Data Cleaning Pipeline
Neil G. Marchant
46
3
0
25 Jul 2023
Entropy regularization in probabilistic clustering
Entropy regularization in probabilistic clustering
Beatrice Franzolini
Giovanni Rebaudo
44
1
0
19 Jul 2023
Conditional partial exchangeability: a probabilistic framework for
  multi-view clustering
Conditional partial exchangeability: a probabilistic framework for multi-view clustering
Beatrice Franzolini
Maria de Iorio
J. Eriksson
34
6
0
03 Jul 2023
Bayesian nonparametric modeling of latent partitions via Stirling-gamma
  priors
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
Alessandro Zito
T. Rigon
David B. Dunson
70
2
0
04 Jun 2023
Fast Generation of Exchangeable Sequence of Clusters Data
Fast Generation of Exchangeable Sequence of Clusters Data
Keith D. Levin
Brenda Betancourt
67
0
0
06 Sep 2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Changwoo J. Lee
H. Sang
99
8
0
30 Jan 2022
Unsupervised Statistical Learning for Die Analysis in Ancient
  Numismatics
Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics
Andreas Heinecke
Emanuel Mayer
A. Natarajan
Yoonju Jung
60
4
0
01 Dec 2021
Multifile Partitioning for Record Linkage and Duplicate Detection
Multifile Partitioning for Record Linkage and Duplicate Detection
Serge Aleshin-Guendel
Mauricio Sadinle
19
13
0
08 Oct 2021
d-blink: Distributed End-to-End Bayesian Entity Resolution
d-blink: Distributed End-to-End Bayesian Entity Resolution
Neil G. Marchant
Andee Kaplan
Daniel N. Elazar
Benjamin I. P. Rubinstein
R. Steorts
47
23
0
13 Sep 2019
A Practical Approach to Proper Inference with Linked Data
A Practical Approach to Proper Inference with Linked Data
Andee Kaplan
Brenda Betancourt
R. Steorts
34
4
0
02 Oct 2018
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