[Ml-stat-talks] Fwd: matt taddy: monday november 11 at 1:30pm
David Blei
blei at CS.Princeton.EDU
Mon Nov 11 08:07:28 EST 2013
ml-stat-talks
reminder: matt taddy is speaking today at 1:30pm in CS room 301.
best
dave
---------- Forwarded message ----------
From: David Blei <blei at cs.princeton.edu>
Date: Tue, Nov 5, 2013 at 9:55 PM
Subject: matt taddy: monday november 11 at 1:30pm
To: ml-stat-talks <ml-stat-talks at lists.cs.princeton.edu>
ml-stat-talks
mark your calendars for next monday november 11 at 1:30pm. matt taddy
from the university of chicago will discuss inverse regression,
including his latest JASA discussion paper "multinomial inverse
regression for text analysis". matt has deep intuitions, interesting
results, and a fresh perspective on analyzing massive discrete data
sets.
the details are below my signature.
best
dave
---
Inverse Regression for Analysis of Big Count Data
Matthew Taddy
University of Chicago
Monday, November 11
1:30PM
Computer Science, Room 301
Much of the data we encounter occur as counts in a massive number of
categories: think of word usage in text mining, or domain visits in
web analytics. This data is accompanied by a smaller set of attributes
-- associated with, say, an author or IP address -- and we want to be
able to build a model that will be useful when some of these
attributes are unobserved. This talk will discuss multinomial inverse
regression as a strategy for projecting from high-dimensional counts
onto such a set of attributes. We'll consider the computational and
statistical reasons one would want to do this, and consider a series
of examples on how the techniques can work (or not work) in both
inference and prediction.
More information about the Ml-stat-talks
mailing list