Tue 20 Jun 2023 15:00 - 15:20 at Royal - PLDI: Probabilistic Analyses Chair(s): Gagandeep Singh

In this work, we study the fully automated inference of expected result values of probabilistic programs in the presence of natural programming constructs such as procedures, local variables and recursion. While crucial, capturing these constructs becomes highly non-trivial. The key contribution is the definition of a term representation, denoted as infer[.], translating a pre-expectation semantics into first-order constraints, susceptible to automation via standard methods. A crucial step is the use of logical variables, inspired by previous work on Hoare logics for recursive programs. Noteworthy, our methodology is not restricted to tail-recursion, which could unarguably be replaced by iteration and wouldn't need additional insights. We have implemented this analysis in our prototype ev-imp. We provide ample experimental evidence of the prototype's algorithmic expressibility.

Tue 20 Jun

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13:40 - 15:40
PLDI: Probabilistic AnalysesPLDI Research Papers at Royal
Chair(s): Gagandeep Singh University of Illinois at Urbana-Champaign

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13:40
20m
Talk
Lilac: A Modal Separation Logic for Conditional Probability
PLDI Research Papers
John Li Northeastern University, Amal Ahmed Northeastern University, USA, Steven Holtzen Northeastern University
DOI Pre-print
14:00
20m
Talk
Formally Verified Samplers from Probabilistic Programs with Loops and Conditioning
PLDI Research Papers
Alexander Bagnall Ohio University, Gordon Stewart Bedrock Systems, Anindya Banerjee IMDEA Software Institute
DOI
14:20
20m
Talk
Verified Density Compilation for a Probabilistic Programming Language
PLDI Research Papers
Joseph Tassarotti NYU, Jean-Baptiste Tristan Amazon Web Services
DOI
14:40
20m
Talk
Probabilistic Programming with Stochastic Probabilities
PLDI Research Papers
Alexander K. Lew Massachusetts Institute of Technology, Matin Ghavami Massachusetts Institute of Technology, Martin Rinard MIT, Vikash K. Mansinghka Massachusetts Institute of Technology
DOI
15:00
20m
Talk
Automated Expected Value Analysis of Recursive Programs
PLDI Research Papers
Martin Avanzini Inria, Georg Moser University of Innsbruck, Michael Schaper Build Informed
DOI
15:20
20m
Talk
Synthesizing Quantum-Circuit Optimizers
PLDI Research Papers
Amanda Xu University of Wisconsin-Madison, Abtin Molavi University of Wisconsin-Madison, Lauren Pick University of Wisconsin-Madison and University of California, Berkeley, Swamit Tannu University of Wisconsin-Madison, Aws Albarghouthi University of Wisconsin-Madison
DOI Pre-print