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  Formal Verification of Higher-order Probabilistic Programs: Reasoning about Approximation, Convergence, Bayesian Inference, and Optimization.

Sato, T., Aguirre, A., Barthe, G., Gaboardi, M., Garg, D., & Hsu, J. (2019). Formal Verification of Higher-order Probabilistic Programs: Reasoning about Approximation, Convergence, Bayesian Inference, and Optimization. Proceedings of the ACM on Programming Languages, 3, POPL: 38. doi:10.1145/3290351.

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Genre: Conference Paper
Latex : Formal verification of higher-order probabilistic programs: reasoning about approximation, convergence, {B}ayesian inference, and optimization.

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 Creators:
Sato, Tetsuya1, Author
Aguirre, Alejandro1, Author
Barthe, Gilles1, Author
Gaboardi, Marco1, Author
Garg, Deepak2, Author           
Hsu, Justin1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Group D. Garg, Max Planck Institute for Software Systems, Max Planck Society, ou_2105289              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Sato_POPL2019
DOI: 10.1145/3290351
 Degree: -

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Title: 46th ACM SIGPLAN Symposium on Principles of Programming Languages
Place of Event: Cascais, Portugal
Start-/End Date: 2019-01-13 - 2019-01-19

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Title: Proceedings of the ACM on Programming Languages
Source Genre: Journal
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Publ. Info: New York, NY : ACM
Pages: 30 p. Volume / Issue: 3, POPL Sequence Number: 38 Start / End Page: - Identifier: -