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SUMMARY:Probability and Prejudice: Bridging the Gap Between Machine Learni
 ng and Programming Languages - Neil Toronto\, University of Maryland
DTSTART:20150417T090000Z
DTEND:20150417T100000Z
UID:TALK58970@talks.cam.ac.uk
CONTACT:Raphael Proust
DESCRIPTION:Probabilistic programming languages are often thought of as a 
 point of\nintersection between machine learning and programming languages.
  While\nthis is true in some respects\, they mostly occupy a gap between t
 he\ntwo research areas. Technically\, correctly running all probabilistic\
 nprograms requires different algorithms\, formalisms and theory than are\n
 commonly used in either area. Culturally\, the gap is perhaps wider:\neach
  area has its own vocabulary\, ideals\, standards of rigor\, and\nmotivati
 ons\, which are often at odds.\n\nIn this talk\, I'll describe how I cross
 ed the gap from machine\nlearning to programming languages\, and how I'm b
 uilding a bridge back\nto the other side.
LOCATION:SS03
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