Oopsla24 Exact Bayesian Inference For Loopy Probabilistic Programs Using Generating Functions Information Guide

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  2. Important Facts
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Introduction on Oopsla24 Exact Bayesian Inference For Loopy Probabilistic Programs Using Generating Functions

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Information [LAFI'23] Exact Probabilistic Inference Using Generating Functions Update
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Details [LAFI'23] Exact Inference for Discrete Probabilistic Programs via Generating Functions Guide
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λPSI - Exact Inference for Higher Order Probabilistic Programs
λPSI - Exact Inference for Higher Order Probabilistic Programs
Fast probabilistic inference for ODEs with ProbNumDiffEq.jl | Bosch | JuliaCon 2024
Fast probabilistic inference for ODEs with ProbNumDiffEq.jl | Bosch | JuliaCon 2024
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Continuously Reasoning about Programs using Differential Bayesian Inference
Continuously Reasoning about Programs using Differential Bayesian Inference
[OOPSLA] Probability Type Inference for Flexible Approximate Programming
[OOPSLA] Probability Type Inference for Flexible Approximate Programming
Hands-On Amortized Bayesian Inference
Hands-On Amortized Bayesian Inference
Bayesian Workflow and PPLs by Eliezer de Souza da Silva
Bayesian Workflow and PPLs by Eliezer de Souza da Silva
Bayesian Inference in Python by Nuo Xu
Bayesian Inference in Python by Nuo Xu
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
L14.4 The Bayesian Inference Framework
L14.4 The Bayesian Inference Framework
Infer.py: Probabilistic Programming and Bayesian Inference from Python; SciPy 2013 Presentation
Infer.py: Probabilistic Programming and Bayesian Inference from Python; SciPy 2013 Presentation

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Last Updated: September 28, 2026

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Summary

Paper and supplementary material: ... pldi19.sigplan.org/details/pldi-2019-papers/45/Gen-A-General-Purpose- Authors: Zinkov, Rob Track: Machine Learning

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