Computer Science Colloquium, 11/14/2013

NOV 14, 2013 | 4:15 PM

Details

WHERE:

The Graduate Center
365 Fifth Avenue

ROOM:

9205

WHEN:

November 14, 2013: 4:15 PM

ADMISSION:

Free

Description

Computer Science Colloquium
Thursday, November 14, 4:15pm, room 9205/06
 
John Paisley
Columbia

Bayesian nonparametric tree-structured topic models and big data

We discuss a tree-structured topic model that uses Bayesian nonparametrics to learn the branching factor of each node. Our approach models each document as a distribution over a subtree of topics, where topics become more specific as they move away from the root node. We discuss an efficient inference algorithm for model learning when the number of documents is in the millions.

(there will be no wine and cheese reception)

The Colloquium is supported by generous contributions from the Bloomberg, Information Builders, Inc., and Netlogic, Inc.