[Lisa_teatalk] Talk by Rajesh Ranganath (Princeton University) on Friday (10 Apr) at 14.00

Kyung Hyun Cho cho.k.hyun at gmail.com
Tue Apr 7 17:13:03 EDT 2015


Dear all,

This Friday, Rajesh Ranganath (Ph.D. student at Princeton University) will
visit the lab and give a talk on his recent work on "deep exponential
families". As usual, the talk will start at 14.00 in AA3195.

Hope to see many of you at the talk!
- K

===
Speaker: Rajesh Ranganath, Princeton University
Date/Time: 10 Apr @14.00
Place: AA3195
Title: Deep Exponential Families
Abstract:
We describe deep exponential families (DEFs), a class of latent variable
models that are inspired by the hidden structures used in deep neural
networks. DEFs capture a hierarchy of dependencies between latent
variables, and are easily generalized to many settings through exponential
families. We perform inference using recent ``black box" variational
inference techniques. We then evaluate various DEFs on text and combine
multiple DEFs into a model for pairwise recommendation data. We demonstrate
that DEFs find interesting exploratory structure in large data sets, and
give better predictive performance than state-of-the-art models.
Bio:
Rajesh Ranganath is a PhD student in machine learning working with David
Blei. His primary interests are probabilistic modeling, approximate
inference, Bayesian nonparametric statistics, and their applications to
medicine and biology.  Previously, he worked with Andrew Ng at SAIL on deep
learning and Dan Jurafsky as part of the Stanford NLP Group on detecting
human social intentions from conversations. Some of his recent work
involves black-box inference methods, new types of random measures, and
deep stochastic models.
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