@inproceedings{schein2016poisson,
author = {Schein, Aaron and Wallach, Hanna and Zhou, Mingyuan},
title = {Poisson–Gamma Dynamical Systems},
booktitle = {Advances in Neural Information Processing Systems 29 (NIPS 2016)},
year = {2016},
month = {May},
abstract = {This paper presents a dynamical system based on the Poisson-Gamma construction for sequentially observed multivariate count data. Inherent to the model is a novel Bayesian nonparametric prior that ties and shrinks parameters in a powerful way. We develop theory about the model's infinite limit and its steady-state. The model's inductive bias is demonstrated on a variety of real-world datasets where it is shown to learn interpretable structure and have superior predictive performance.},
url = {http://approjects.co.za/?big=en-us/research/publication/poisson-gamma-dynamical-systems/},
}