3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Factor-Assisted Density Estimation: When Ambient Dimension Enables Oracle Rates
Sunrit Chakraborty, David Dunson
We study density estimation in the high-dimensional factor model, whose fixed-dimensional latent factors have an unknown smooth density. We propose factor-assisted density estimati…
Learning Mixtures of Nonparametric and Convolutional Measures on Effectively Low-dimensional Affine Spaces
Sunrit Chakraborty, XuanLong Nguyen
In this paper, we develop a finite mixture of convolutional distributions, a statistical model to analyze continuous data distributed approximately on a mixture of low-dimensional…
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…