Oopsla25 Multi Language Probabilistic Programming Information Guide

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About on Oopsla25 Multi Language Probabilistic Programming

Full [OOPSLA'25] Multi-Language Probabilistic Programming News
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Key Details

[LAFI'24] A Multi-language Approach to Probabilistic Program Inference Update
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Latest News

[POPL 2021] Paradoxes of probabilistic programming (full) Update
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CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists
CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists
[OOPSLA] Probability Type Inference for Flexible Approximate Programming
[OOPSLA] Probability Type Inference for Flexible Approximate Programming
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019
Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019
Anatomy of Probabilistic Programming Languages | SciPy 2019 | S. Ramamoorthy
Anatomy of Probabilistic Programming Languages | SciPy 2019 | S. Ramamoorthy
Probabilistic Programming
Probabilistic Programming
Tutorial: Probabilistic Programming
Tutorial: Probabilistic Programming
[OOPSLA'25] Language-Parametric Reference Synthesis
[OOPSLA'25] Language-Parametric Reference Synthesis
Scala DSLs and Probabilistic Programming by Joe Wingbermuehle
Scala DSLs and Probabilistic Programming by Joe Wingbermuehle
Tutorial: Probabilistic Programming
Tutorial: Probabilistic Programming
[LAFI'26] A Welcome to Causal Probabilistic Programming
[LAFI'26] A Welcome to Causal Probabilistic Programming

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Last Updated: September 22, 2026

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Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019 News
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Summary

Jules Jacobs (Radboud University Nijmegen) Paper: dl.acm.org/doi/pdf/10.1145/3434339 Abstract Session 1B: CAV 2020 Tutorial B, Chair: Shuvendu Lahiri Speaker: Sriram Sankaranarayanan pldi19.sigplan.org/details/pldi-2019-papers/45/Gen-A-General-Purpose- The ability to estimate uncertainty and incorporate it in decision making is crucial to sensitive applications Self-driving Cars, ... Presented by Hongseok Yang. Presented at POPL'20. Kevin Smith, MIT BMM Summer Course 2018.

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