A new approach to probabilistic programming inference

Journal of Machine Learning Research

Volumn 33, Issue , 2014, Pages 1024-1032

  Wood, Frank ^a   Van De Meent, Jan Willem ^b   Mansinghka, Vikash ^c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Columbia University ^*  (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER PROGRAMMING LANGUAGES; MARKOV PROCESSES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ACCURATE INFERENCE; COMPLEX CONTROL FLOW; METROPOLIS-HASTINGS METHOD; NON-PARAMETRIC STATISTICS; PARTICLE MARKOV CHAIN MONTE CARLO; PROBABILISTIC PROGRAMMING; PROBABILISTIC PROGRAMMING LANGUAGE; TURING-COMPLETE;

ARTIFICIAL INTELLIGENCE;

EID: 84955462577     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (12)

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