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SUMMARY:The Expxorcist: Nonparametric Graphical Models Via Conditional Exp
 onential Densities - Pradeep Ravikumar (Carnegie Mellon University)
DTSTART:20180116T094500Z
DTEND:20180116T103000Z
UID:TALK97630@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Non-parametric multivariate density estimation faces strong st
 atistical and computational bottlenecks\, and the more practical approache
 s impose near-parametric assumptions on the form of the density functions.
  In this paper\, we leverage recent developments in parametric graphical m
 odels to propose a class of non-parametric multivariate densities which ha
 ve very attractive computational and statistical properties. Our approach 
 relies on the simple function space assumption that the conditional distri
 bution of each variable conditioned on the other variables has a non-param
 etric exponential family form.  Joint work with Mladen Kolar\, Arun Sai Su
 ggala.
LOCATION:Seminar Room 1\, Newton Institute
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