Expressing and verifying probabilistic assertions

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)

Volumn , Issue , 2014, Pages 112-122

  Sampson, Adrian ^a   Panchekha, Pavel ^a   Mytkowicz, Todd ^b   McKinley, Kathryn S ^b   Grossman, Dan ^a   Ceze, Luis ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Approximate computing; Data obfuscation; Differential privacy; Probabilistic programming; Sensors; Symbolic execution

Indexed keywords

BAYESIAN NETWORKS; C++ (PROGRAMMING LANGUAGE); COMPUTER PROGRAMMING LANGUAGES; COMPUTER SOFTWARE; EXTRACTION; SENSORS;

APPROXIMATE COMPUTING; DATA OBFUSCATION; DIFFERENTIAL PRIVACIES; PROBABILISTIC PROGRAMMING; SYMBOLIC EXECUTION;

PROBABILITY DISTRIBUTIONS;

EID: 84901624490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2594291.2594294     Document Type: Conference Paper

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