Oopsla Probability Type Inference For Flexible Approximate Programming

Oopsla Probability Type Inference For Flexible Approximate Programming Information Guide

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Background of Oopsla Probability Type Inference For Flexible Approximate Programming

Information [OOPSLA] Probability Type Inference for Flexible Approximate Programming Guide

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Main Features

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History

[ICFP'26] First-Class Constrained Types: Elaboration, Type Inference, Approximation, and a(…) Update

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How far can type inference go

OOPSLA 2020 Poster: Scaling Exact Inference for Discrete Probabilistic Programs

[OOPSLA] How Scale Affects Structure in Java Programs

[OOPSLA'26] Accurate Residues for Floating-Point Debugging

Effects as Capabilities: Effect Handlers and Lightweight Effect Polymorphism (OOPSLA'20)

[ICFP'26] Another Type Inference Algorithm for First-class Implicit Polymorphism

[OOPSLA24] Exact Bayesian Inference for Loopy Probabilistic Programs Using Generating Functions

[OOPSLA] Approximate Computation with Outlier Detection in Topaz

KR 2021 - Approximate inference for Neural Probabilistic Logic Programming

[POPL'26] Probabilistic Programming with Vectorized Programmable Inference

[POPL'26] Local Contextual Type Inference

Deep Dive

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Last Updated: October 17, 2026

Future Outlook

Information [OOPSLA24] Programmable MCMC with Soundly Composed Guide Programs News

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Summary

First-Class Constrained Types: Elaboration, Programmable MCMC with Soundly Composed Guide Programs (Video, This is the poster presentation for the Talk Title: How Scale Affects Structure in Java Programs Presenter: Crista Lopes More Info: ... This video is a re-presentation of "Accurate Residuals for Floating-Point Debugging", by Yumeng He and Pavel Panchekha ... Jonathan Brachthäuser presents the underlying design decisions of the Effekt language at the

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