Automated Safety Verification of Posterior Distributions of Probabilistic Programs
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 807-816.
https://doi.org/10.24963/ijcai.2026/91
Keywords
- Constraint Satisfaction and Optimization: Constraint satisfaction
- AI Ethics, Trust, Fairnes: Safety and robustness
- Knowledge Representation and Reasoning: Automated reasoning and theorem proving
- Constraint Satisfaction and Optimization: Solvers and tools
- Constraint Satisfaction and Optimization: Satisfiabilty
Abstract
Ensuring the safety of probabilistic systems is a central challenge in formal verification.
We propose an automated refinement technique for verifying a safety property of posterior distributions in probabilistic programs.
Our approach builds on the counterexample-guided abstraction refinement (CEGAR) framework and exploits the duality in convex optimisation and the adequacy of predicate-transformer semantics in probabilistic settings.
We implement the technique and evaluate its effectiveness through preliminary experiments.
@inproceedings{ijcai2026p91,
title = {Automated Safety Verification of Posterior Distributions of Probabilistic Programs},
author = {Watanabe, Kazuki and Unno, Hiroshi},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {807--816},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/91},
url = {https://doi.org/10.24963/ijcai.2026/91},
}
TY - CPAPER TI - Automated Safety Verification of Posterior Distributions of Probabilistic Programs AU - Watanabe, Kazuki AU - Unno, Hiroshi T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 807 EP - 816 DO - 10.24963/ijcai.2026/91 UR - https://doi.org/10.24963/ijcai.2026/91 ER -Copied
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