463 citations · 5.1k across the 190 of their papers we have counts for
11 papers · 1 filter
Nested Dictionary Learning for Hierarchical Organization of Imagery and Text
Lingbo Li, XianXing Zhang, Mingyuan Zhou +1
A tree-based dictionary learning model is developed for joint analysis of imagery and associated text. The dictionary learning may be applied directly to the imagery from patches,…
A Bayesian Nonparametric Approach to Image Super-resolution
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin +2
Super-resolution methods form high-resolution images from low-resolution images. In this paper, we develop a new Bayesian nonparametric model for super-resolution. Our method uses…
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou, Lawrence Carin
The seemingly disjoint problems of count and mixture modeling are united under the negative binomial (NB) process. A gamma process is employed to model the rate measure of a Poisso…
Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou, Lawrence Carin
By developing data augmentation methods unique to the negative binomial (NB) distribution, we unite seemingly disjoint count and mixture models under the NB process framework. We d…
Finite sample posterior concentration in high-dimensional regression
Nate Strawn, Artin Armagan, Rayan Saab +2
We study the behavior of the posterior distribution in high-dimensional Bayesian Gaussian linear regression models having , with the number of predictors and the sa…
Inferring Latent Structure From Mixed Real and Categorical Relational Data
Esther Salazar, Matthew Cain, Elise Darling +2
We consider analysis of relational data (a matrix), in which the rows correspond to subjects (e.g., people) and the columns correspond to attributes. The elements of the matrix may…