Probabilistic programming provides a convenient lingua franca for writing succinct and rigorous descriptions of probabilistic models and inference tasks. Several probabilistic programming languages, including Anglican, Church or Hakaru, derive their expressiveness from a powerful combination of continuous distributions, conditioning, and higher-order functions. Although very important for practical applications, these combined features raise fundamental challenges for program semantics and verification. Several recent works offer promising answers to these challenges, but their primary focus is on semantical issues.
In this paper, we take a step further and we develop a set of program logics, named PPV for proving properties of programs written in an expressive probabilistic higher-order language with continuous distributions and operators for conditioning distributions by real-valued functions. Pleasingly, our program logics retain the comfortable reasoning style of informal proofs thanks to carefully selected axiomatizations of key results from probability theory. The versatility of our logics is illustrated through the formal verification of several intricate examples from statistics, probabilistic inference, and machine learning. We further show the expressiveness of our logics by giving sound embeddings of existing logics. In particular, we do this in a parametric way by showing how the semantics idea of (unary and relational) $\top\top$-lifting can be internalized in our logics. The soundness of PPV follows by interpreting programs and assertions in quasi-Borel spaces (QBS), a recently proposed variant of Borel spaces with a good structure for interpreting higher order probabilistic programs.
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|10:35 - 10:57|
Tetsuya SatoUniversity at Buffalo, SUNY, USA, Alejandro AguirreIMDEA Software Institute, Spain, Gilles BartheIMDEA Software Institute, Marco GaboardiUniversity at Buffalo, SUNY, Deepak GargMax Planck Institute for Software Systems, Justin HsuUniversity of Wisconsin-Madison, USALink to publication DOI Media Attached File Attached
|10:57 - 11:19|
Research PapersLink to publication DOI Media Attached File Attached
|11:19 - 11:41|
Kevin BatzRWTH Aachen University, Benjamin Lucien KaminskiRWTH Aachen University; University College London, Joost-Pieter KatoenRWTH Aachen University, Christoph MathejaRWTH Aachen University, Thomas NollRWTH Aachen UniversityLink to publication DOI Media Attached File Attached
|11:41 - 12:03|
Calvin SmithUniversity of Wisconsin - Madison, Justin HsuUniversity of Wisconsin-Madison, USA, Aws AlbarghouthiUniversity of Wisconsin-MadisonLink to publication DOI Media Attached