Some recent developments in scalable Bayesian modeling

Seminar Date: 
2017-03-17
Seminar Time: 
9am - 10am
Seminar Location: 
5607 Baum Boulevard, Room 407A
Presenter: 
John Paisley, PhD
Presenter's Institution: 
Columbia University

Recent developments in scalable Bayesian inference have enabled fast learning of complex probabilistic models using massive data sets. We will discuss these developments in the context of topic models of discrete grouped data, focusing on text. We will review our recent collaborations on scalable model learning using stochastic variational inference, and discuss new applications to structured hierarchical topic models.

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