`

Timezone: »

 
Poster
Poisson-Gamma dynamical systems
Aaron Schein · Hanna Wallach · Mingyuan Zhou

Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #193 #None
in Wednesday Posters »

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.

Keywords: (Other) Unsupervised Learning Methods · (Other) Probabilistic Models and Methods · (Other) Bayesian Inference
[ PDF] 

Author Information

Aaron Schein (UMass Amherst)
Hanna Wallach (Microsoft Research)
Mingyuan Zhou (University of Texas at Austin)

More from the Same Authors