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SUMMARY:A Live\, Multiple-Representation Probabilistic Programming Environ
 ment for Novices - Maria Gorinova (University of Cambridge)
DTSTART:20160505T101500Z
DTEND:20160505T111500Z
UID:TALK65985@talks.cam.ac.uk
CONTACT:Mariana Marasoiu
DESCRIPTION:This is a rehearsal for the presentation that Maria will give 
 at CHI 2016.\n\nAbstract:\nProbabilistic programming languages\, such as I
 nfer.NET\,\nattempt to unify general purpose programming with probabilisti
 c\nmodelling\, in order to introduce a more abstract and powerful way of\n
 applying probabilistic models to real-world problems. This approach is\nbe
 coming especially popular for data analytics\, as many statistical\ntechni
 ques are more naturally expressed using such languages. However\,\nthe bas
 ic concepts of probabilistic programming differ from those of\nconventiona
 l programming\, which means that learning such language could be a challen
 ge even for an experienced programmer.\n\nIn this talk\, I will present a 
 live\, multiple-representation environment for probabilistic programming b
 ased on the Infer.NET framework\, addressing these conceptual differences 
 and making the capabilities of probabilistic\nprogramming more accessible 
 to students and end-user developers.
LOCATION:SS03 Meeting Room\, Computer Laboratory
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