Nonparametric Bayesian Latent Variable Models
Nonparametric Bayesian Latent Variable Models is a class of probabilistic models that extends traditional latent variable models by employing Bayesian nonparametric methods to automatically infer the complexity or dimensionality of latent structures without pre-specifying fixed parametric forms.
42
Publications
1.8K
Citations
96
Authors
54
Institutions
Publications per year
2017–2026
8
Parents
42
Nonparametric Bayes dynamic modelling of relational data
Daniele Durante, David B. Dunson · Biometrika · 2014 · 106 citations · Full text
Computing, Data Science, Finance +17
Bayesian nonparametric latent feature models
Michael I. Jordan, Kurt T. Miller · 2011 · 96 citations
1–5 of 42
96
4
h-index
4
h-index
3
h-index
2
h-index
2
h-index
1–5 of 96
54
Duke University
Durham, United States
5 h-index
7 publications
195 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
1.4K citations
Tsinghua University
Beijing, China
3 h-index
4 publications
217 citations

Statistical and Applied Mathematical Sciences Institute
Durham, United States
2 h-index
3 publications
41 citations
University of California, Irvine
Irvine, United States
2 h-index
7 publications
222 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
72 citations
Princeton University
Princeton, United States
2 h-index
4 publications
416 citations

University of Padua
Padua, Italy
2 h-index
2 publications
123 citations
1–8 of 54
Repository · 8 publications · 229 citations
8
h-index
TPAMI · 2 publications · 102 citations
2
h-index
2 publications · 25 citations
2
h-index
JCGS · 2 publications · 131 citations
2
h-index
Repository · 1 publications · 13 citations
1
h-index
1–5