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SUMMARY:Generative probabilistic programming: applications and new ideas -
  Yura Perov (Oxford)
DTSTART:20140224T110000Z
DTEND:20140224T120000Z
UID:TALK51142@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:Probabilistic programming has recently attracted much attentio
 n in Computer Science and Machine Learning communities. I will briefly dem
 onstrate two generative probabilistic graphics programs (models)\, which I
  contributed to develop. Then I will present ideas on two research directi
 ons I am interested in pursuing: a path to scaling up general-purpose appr
 oximate inference in probabilistic programs using parallelism\, and a path
  to automatic programming via general-purpose approximate inference.\n\nTh
 is is based on joint work with Frank Wood\, Vikash Mansinghka\, Tejas Kulk
 arni\, Daniel Selsam\, Joshua Tenenbaum\, et al.\n
LOCATION:Engineering Department\, CBL Room BE-438
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