OOPSLA 2026 · Probabilistic programming
Katherine Wu, Jules Jacobs, Kevin Batz, Alexandra Silva. When a program only ever compares its real-valued samples against constants, only finitely many intervals matter. Slice infers those intervals with a type system and turns the program into a discrete one that fast exact-inference engines can solve. This is the conference talk as animated slides, with the full narration as text.
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Katherine Wu (Cornell University), Jules Jacobs (ETH Zurich; Jane Street), Kevin Batz (University of Münster), Alexandra Silva (Cornell University). Type-Directed Discretization of Probabilistic Programs. OOPSLA 2026.
Types carry the cuts: every real-valued type records the thresholds its values will be compared against, type inference finds them across closures, data structures and recursion, and the types direct a source-to-source discretization whose Boolean query probabilities equal the original's.
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