1 citations · 1 across the 3 of their papers we have counts for
4 papers
Dirichlet moment tensors and the correspondence between admixture and mixture of product models
Dat Do, Sunrit Chakraborty, Jonathan Terhorst +1
Understanding posterior contraction behavior in Bayesian hierarchical models is of fundamental importance, but progress in this question is relatively sparse in comparison to the t…
Learning Topic Hierarchies by Tree-Directed Latent Variable Models
Sunrit Chakraborty, Rayleigh Lei, XuanLong Nguyen
We study a parametric family of latent variable models, namely topic models, equipped with a hierarchical structure among the topic variables. Such models may be viewed as a finite…
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
Dat Do, Linh Do, Scott A. McKinley +2
We present a new way to summarize and select mixture models via the hierarchical clustering tree (dendrogram) constructed from an overfitted latent mixing measure. Our proposed met…
Modeling random directions of changes in simplex-valued data
Rayleigh Lei, XuanLong Nguyen
We propose models and algorithms for learning about random directions in simplex-valued data. The models are applied to the study of income level proportions and their changes over…