[talks] M Wawrzoniak preFPO

Melissa M. Lawson mml at CS.Princeton.EDU
Wed Oct 17 15:11:21 EDT 2012


Michael Wawrzoniak will present his preFPO on Wednesday October 24 
at 10AM in Room 402.  The members of his committee are:  Larry 
Peterson, advisor;  David Blei, Andrea LaPaugh, Vivek Pai, and 
Rob Schapire.  Everyone is invited to attend his talk. His 
abstract follows below.

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The role played by data analysis and machine learning continues to
gain significance in many fields, and society as a whole. In
particular, statistical learning in the framework of graphical models
has become a very successful and popular machine learning method used
in many fields. However developing these models requires substantial
expertise and applying them to very large distributed and streaming
data sets can still be a very challenging problem. In this talk I will
propose an architecture which will make a substantial subset of these
techniques accessible to users with less expert machine learning
knowledge. A framework for high-level description of models in
conjugate-exponential family, automatically transforming them to
distributed streaming stochastic variational inference procedure, and
an evaluation platform will be outlined. The vision of this software
stack is to show a possible future path for a shift from data analysis
being in the hands the expert elites towards empowering the wider
public.
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