Please use this identifier to cite or link to this item: doi:10.22028/D291-47687
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Title: Lower Bounds for Possibly Divergent Probabilistic Programs
Author(s): Feng, Shenghua
Chen, Mingshuai
Su, Han
Kaminski, Benjamin Lucien
Katoen, Joost-Pieter
Zhan, Naijun
Language: English
Title: Proceedings of the ACM on Programming Languages
Volume: 7
Issue: OOPSLA1
Pages: 99:1-31
Publisher/Platform: ACM
Year of Publication: 2023
Free key words: probabilistic programs
quantitative veri cation
weakest preexpectations
lower bounds
almost-sure termination
uniform integrability
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
DOI of the first publication: 10.1145/3586051
URL of the first publication: https://doi.org/10.1145/3586051
Link to this record: urn:nbn:de:bsz:291--ds-476879
hdl:20.500.11880/41707
http://dx.doi.org/10.22028/D291-47687
ISSN: 2475-1421
Date of registration: 5-May-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Benjamin Kaminski
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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