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SUMMARY:Logic\, Theorem Proving\, and Probabilistic Programming - Christia
 n Steinruecken (University of Cambridge)
DTSTART:20151119T143000Z
DTEND:20151119T160000Z
UID:TALK62019@talks.cam.ac.uk
CONTACT:Yingzhen Li
DESCRIPTION:This seminar will give an accessible introduction to logic and
  declarative programming\, along with its theoretical background\, practic
 al uses\, and relations to machine learning.\nThe talks has three primary 
 aims:\n(1) to confer key concepts about logical reasoning and how these ca
 n be implemented with machines\,\n(2) to empower the audience to solve a w
 ide class of interesting problems using logic programming\,\n(3) to review
  the current frontier in machine learning\, and motivate the search for ne
 w fundamental tools (such as probabilistic programming systems).\n\nAlong 
 the way\, I'll show how to implement a basic theorem prover\, and outline 
 the anatomy of a declarative probabilistic programming language.\n\nRequir
 ed reading: none.
LOCATION:Engineering Department\, CBL Room 438
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