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A Convenient Category for Higher-Order Probability Theory

A Convenient Category for Higher-Order Probability Theory

10 January 2017
C. Heunen
Ohad Kammar
S. Staton
Hongseok Yang
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Papers citing "A Convenient Category for Higher-Order Probability Theory"

5 / 5 papers shown
Title
Semantics for probabilistic programming: higher-order functions,
  continuous distributions, and soft constraints
Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints
S. Staton
Hongseok Yang
C. Heunen
Ohad Kammar
Frank Wood
36
135
0
19 Jan 2016
A New Approach to Probabilistic Programming Inference
A New Approach to Probabilistic Programming Inference
Frank Wood
Jan-Willem van de Meent
Vikash K. Mansinghka
47
345
0
03 Jul 2015
Venture: a higher-order probabilistic programming platform with
  programmable inference
Venture: a higher-order probabilistic programming platform with programmable inference
Vikash K. Mansinghka
Daniel Selsam
Yura N. Perov
48
254
0
01 Apr 2014
Church: a language for generative models
Church: a language for generative models
Noah D. Goodman
Vikash K. Mansinghka
Daniel M. Roy
Keith Bonawitz
J. Tenenbaum
80
814
0
13 Jun 2012
Computable de Finetti measures
Computable de Finetti measures
Cameron E. Freer
Daniel M. Roy
63
34
0
06 Dec 2009
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