[Ml-stat-talks] Fwd: [talks] Chong Wang FPO

David Blei blei at CS.Princeton.EDU
Mon Jul 9 18:23:28 EDT 2012

hi all

chong wang will defend his thesis tomorrow at 11am in room 402 in the
CS building.  see below for the details and abstract.  this will be of
interest to those of you interested in bayesian statistics,
collaborative filtering, approximate posterior inference, or how to
complete a successful phd.  please come!


---------- Forwarded message ----------
From: Melissa M. Lawson <mml at cs.princeton.edu>
Date: Thu, Jul 5, 2012 at 11:53 AM
Subject: [talks] Chong Wang FPO
To: talks <talks at lists.cs.princeton.edu>

Chong Wang will present his FPO on Tuesday July 10 at 11AM in
Room 402.  The members of his committee are:  David Blei, advisor;
Rob Schapire and Eric Xing (CMU), readers; Olga Troyanskaya and
Andrea LaPaugh, nonreaders.  A copy of his thesis, "Hierarchical Bayesian
Modeling: Efficient Inference and Applications", is on display in
Room 310.  Everyone is invited to attend his talk.

Title: Hierarchical Bayesian modeling: efficient inference and applications

Hierarchical Bayesian models have become a popular tool for analyzing
large-scale real-world data, such as text and images. Through these models,
people can build useful tools for latent structure discovery, browsing and
recommendations. In this talk, I will present several recent advances in the
area of hierarchical Bayesian modeling, with an emphasis on topic modeling,
Bayesian nonparametrics and approximate posterior inference. Specifically, I
will first talk about an online variational inference framework that can scale
up to millions of articles on a single machine and also does model selection
using Bayesian nonparametric priors. Then I will describe a novel recommendation
model on scientific articles that not only improves accuracy, but also provides
an interpretable latent structure for both users and items.

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