Blogs (1) >>
POPL 2019
Sun 13 - Sat 19 January 2019 Cascais, Portugal
Wed 16 Jan 2019 10:35 - 10:57 at Sala I - Reasoning about Probabilistic Programs Chair(s): Jan Hoffmann

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.

Slide (main(version5).pdf)1.4MiB

Wed 16 Jan
Times are displayed in time zone: Greenwich Mean Time : Belfast change

10:35 - 12:03: Reasoning about Probabilistic ProgramsResearch Papers at Sala I
Chair(s): Jan HoffmannCarnegie Mellon University
10:35 - 10:57
Talk
Research Papers
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, USA
Link to publication DOI Media Attached File Attached
10:57 - 11:19
Talk
Research Papers
Joseph TassarottiCarnegie Mellon University, Robert Harper
Link to publication DOI Media Attached File Attached
11:19 - 11:41
Talk
Research Papers
Kevin BatzRWTH Aachen University, Benjamin Lucien KaminskiRWTH Aachen University; University College London, Joost-Pieter KatoenRWTH Aachen University, Christoph MathejaRWTH Aachen University, Thomas NollRWTH Aachen University
Link to publication DOI Media Attached File Attached
11:41 - 12:03
Talk
Research Papers
Calvin SmithUniversity of Wisconsin - Madison, Justin HsuUniversity of Wisconsin-Madison, USA, Aws AlbarghouthiUniversity of Wisconsin-Madison
Link to publication DOI Media Attached