Probabilistic Program Abstractions

May 28, 2017 Β· Declared Dead Β· πŸ› Conference on Uncertainty in Artificial Intelligence

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Authors Steven Holtzen, Todd Millstein, Guy Van den Broeck arXiv ID 1705.09970 Category cs.AI: Artificial Intelligence Citations 16 Venue Conference on Uncertainty in Artificial Intelligence Last Checked 3 months ago
Abstract
Abstraction is a fundamental tool for reasoning about complex systems. Program abstraction has been utilized to great effect for analyzing deterministic programs. At the heart of program abstraction is the relationship between a concrete program, which is difficult to analyze, and an abstract program, which is more tractable. Program abstractions, however, are typically not probabilistic. We generalize non-deterministic program abstractions to probabilistic program abstractions by explicitly quantifying the non-deterministic choices. Our framework upgrades key definitions and properties of abstractions to the probabilistic context. We also discuss preliminary ideas for performing inference on probabilistic abstractions and general probabilistic programs.
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