Probabilistic Program Abstractions
May 28, 2017 Β· Declared Dead Β· π 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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