Incremental precision-preserving symbolic inference for probabilistic programs-Reference-Cited by-同舟云学术

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Incremental precision-preserving symbolic inference for probabilistic programs

Published:2019-06-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation
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Author:

Zhang Jieyuan¹,Xue Jingling¹

Affiliation:

1. UNSW, Australia

Funder

ARC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3314221.3314623

Reference55 articles.

1. Reviser: efficiently updating IDE-/IFDS-based data-flow analyses in response to incremental program changes

2. Roger Bakeman and John M Gottman. 1997. Observing interaction: An introduction to sequential analysis . Cambridge university press. Roger Bakeman and John M Gottman. 1997. Observing interaction: An introduction to sequential analysis . Cambridge university press.

3. Proving expected sensitivity of probabilistic programs

4. Deriving Probability Density Functions from Probabilistic Functional Programs

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SPPL: probabilistic programming with fast exact symbolic inference;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18

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