3 citations · 3 across the 6 of their papers we have counts for
7 papers
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…
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…
A Novel Class of Unfolding Models for Binary Preference Data
Rayleigh Lei, Abel Rodriguez
We develop a new class of spatial voting models for binary preference data that can accommodate both monotonic and non-monotonic response functions, and are more flexible than alte…
Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court
Rayleigh Lei, Abel Rodriguez
Latent factor models are widely used in the social and behavioral science as scaling tools to map discrete multivariate outcomes into low dimensional, continuous scales. In politic…
Modeling Random Directions in 2D Simplex Data
Rayleigh Lei, XuanLong Nguyen
We propose models and algorithms for learning about random directions in two-dimensional simplex data, and apply our methods to the study of income level proportions and their chan…
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields
Sunrit Chakraborty, Aritra Guha, Rayleigh Lei +1
Analysis of heterogeneous patterns in complex spatio-temporal data finds usage across various domains in applied science and engineering, including training autonomous vehicles to…
Robust Unsupervised Learning of Temporal Dynamic Interactions
Aritra Guha, Rayleigh Lei, Jiacheng Zhu +2
Robust representation learning of temporal dynamic interactions is an important problem in robotic learning in general and automated unsupervised learning in particular. Temporal d…