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Guaranteed bounds for posterior inference in universal probabilistic programming

Research article (Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2022) · cited 18× · AI/ML
academia openalex:W4281938159
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Guaranteed bounds for posterior inference in universal probabilistic programming

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Guaranteed bounds for posterior inference in universal probabilistic programming is a scholarly article[1].

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  • Guaranteed bounds for posterior inference in universal probabilistic programming's instance of is recorded as scholarly article[2].

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Luke Ong

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Guaranteed bounds for posterior inference in universal probabilistic programming. Retrieved May 24, 2026, from https://4ort.xyz/entity/guaranteed-bounds-for-posterior-inference-in-universal-probabilistic-programming
MLA “Guaranteed bounds for posterior inference in universal probabilistic programming.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/guaranteed-bounds-for-posterior-inference-in-universal-probabilistic-programming.
BibTeX @misc{4ortxyz_guaranteed-bounds-for-posterior-inference-in-universal-probabilistic-programming_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Guaranteed bounds for posterior inference in universal probabilistic programming}}, year = {2026}, url = {https://4ort.xyz/entity/guaranteed-bounds-for-posterior-inference-in-universal-probabilistic-programming}, note = {Accessed: 2026-05-24}}
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