Probabilistic Programming

Probabilistic programming languages are designed to describe probabilistic models and then perform inference in those models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible.

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Papers

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Showing 51–75 of 273 papers

Title	Date	Tasks	Status	Score
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	CodeCode Available	5
Bayesian Neural Networks	Jan 23, 2018	Probabilistic Programming	CodeCode Available	5
Automating Model Comparison in Factor Graphs	Jun 9, 2023	modelparameter estimation	CodeCode Available	5
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models	Oct 31, 2024	Probabilistic Programming	CodeCode Available	5
Ice Core Dating using Probabilistic Programming	Oct 29, 2022	Probabilistic Programming	CodeCode Available	5
Automatic structured variational inference	Feb 3, 2020	Probabilistic ProgrammingVariational Inference	CodeCode Available	5
Automatic Reparameterisation of Probabilistic Programs	Jun 7, 2019	Probabilistic Programming	CodeCode Available	5
Probabilistic Programs with Stochastic Conditioning	Oct 1, 2020	Probabilistic Programming	CodeCode Available	5
Borch: A Deep Universal Probabilistic Programming Language	Sep 13, 2022	Probabilistic Programming	CodeCode Available	5
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning	Jun 10, 2023	Bayesian InferenceDeep Learning	CodeCode Available	5
Accelerating Metropolis-Hastings with Lightweight Inference Compilation	Oct 23, 2020	Probabilistic Programming	CodeCode Available	5
Reversible Jump Probabilistic Programming	Apr 16, 2019	Bayesian InferenceCode Generation	CodeCode Available	5
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available	5
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models	Mar 6, 2019	Probabilistic Programming	CodeCode Available	5
Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction	Oct 19, 2020	ManagementMedical Diagnosis	CodeCode Available	5
An Introduction to Probabilistic Programming	Sep 27, 2018	Probabilistic Programming	CodeCode Available	5
Exploring Bayesian approaches to eQTL mapping through probabilistic programming	Jun 12, 2019	Probabilistic Programmingregression	CodeCode Available	5
Automatically Marginalized MCMC in Probabilistic Programming	Feb 1, 2023	Probabilistic Programming	CodeCode Available	5
Dataflow Matrix Machines as a Generalization of Recurrent Neural Networks	Mar 29, 2016	BIG-bench Machine LearningProbabilistic Programming	CodeCode Available	5
A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming	Nov 25, 2019	Probabilistic Programming	CodeCode Available	5
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming	Sep 30, 2018	Probabilistic ProgrammingRepresentation Learning	CodeCode Available	5
Functional Tensors for Probabilistic Programming	Oct 23, 2019	Probabilistic Programming	CodeCode Available	5
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model	Jul 20, 2018	Bayesian InferenceProbabilistic Programming	CodeCode Available	5
Amortized Rejection Sampling in Universal Probabilistic Programming	Oct 20, 2019	Probabilistic Programming	CodeCode Available	5
Diffusion models for probabilistic programming	Nov 1, 2023	Probabilistic ProgrammingVariational Inference	CodeCode Available	5

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