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Refuting Equivalence in Probabilistic Programs with Conditioning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00144669" target="_blank" >RIV/00216224:14330/25:00144669 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-90653-4_14" target="_blank" >http://dx.doi.org/10.1007/978-3-031-90653-4_14</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-90653-4_14" target="_blank" >10.1007/978-3-031-90653-4_14</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Refuting Equivalence in Probabilistic Programs with Conditioning

  • Original language description

    We consider the problem of refuting equivalence of probabilistic programs, i.e., the problem of proving that two probabilistic programs induce different output distributions. We study this problem in the context of programs with conditioning (i.e., with observe and score statements), where the output distribution is conditioned by the event that all the observe statements along a run evaluate to true, and where the probability densities of different runs may be updated via the score statements. Building on a recent work on programs without conditioning, we present a new equivalence refutation method for programs with conditioning. Our method is based on weighted restarting, a novel transformation of probabilistic programs with conditioning to the output equivalent probabilistic programs without conditioning that we introduce in this work. Our method is the first to be both a) fully automated, and b) providing provably correct answers. We demonstrate the applicability of our method on a set of programs from the probabilistic inference literature.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/GA23-06963S" target="_blank" >GA23-06963S: VESCAA: Verifiable and Efficient Synthesis of Controllers for Autonomous Agents</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Tools and Algorithms for the Construction and Analysis of Systems - 31st International Conference, TACAS 2025

  • ISBN

    9783031906527

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    22

  • Pages from-to

    279-300

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Hamilton, Kanada

  • Event date

    Jan 1, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article