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X-WR-CALNAME;VALUE=TEXT:STAT 300: Finale Doshi-Velez
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SUMMARY:STAT 300: Finale Doshi-Velez
DESCRIPTION:<p>	Non-identifiability and Posterior Exploration in Non-negative Matrix Factorization</p><p>	Non-negative matrix factorization (NMF) is a popular model for data exploration: each data point can be thought of as a convex, linear combination of a set of bases, and the bases represent something important about the structure of the data.  I will first talk about non-identifiability in NMF -- which can thwart interpretation -- including some counter-intuitive examples of how factorizations may not be unique.  Next, I will describe on-going work in my group on how to combine some of these NMF-specific insights with some very general techniques for rapidly exploring the space of probable solutions. </p><p>	 </p><p>	 </p>
LOCATION:Science Center Rm. 705
STATUS:CONFIRMED
DTSTART:20161025T160000Z
DTEND:20161025T170000Z
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