Automatic sampler discovery via probabilistic programming and approximate Bayesian computation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9782, Issue , 2016, Pages 262-273

  Perov, Yura ^a   Wood, Frank ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Automatic modeling; Automatic programming; Bayesian inference; Probabilistic programming; Program synthesis

Indexed keywords

AUTOMATIC PROGRAMMING; BAYESIAN NETWORKS; GENETIC ALGORITHMS; INFERENCE ENGINES; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS;

APPROXIMATE BAYESIAN; AUTOMATIC MODELING; BAYESIAN APPROACHES; BAYESIAN INFERENCE; MARKOV CHAIN MONTE CARLO SAMPLINGS; PROBABILISTIC PROGRAMMING; PROBABILISTIC PROGRAMS; PROGRAM SYNTHESIS;

GENETIC PROGRAMMING;

EID: 84977554338     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-41649-6_27     Document Type: Conference Paper

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