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
Inference Compilation and Universal Probabilistic Programming	Oct 31, 2016	Probabilistic Programming	CodeCode Available	5
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	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
Better call Saul: Flexible Programming for Learning and Inference in NLP	Dec 1, 2016	Part-Of-Speech TaggingProbabilistic Programming	CodeCode Available	5
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box	Apr 11, 2023	Probabilistic ProgrammingStochastic Optimization	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
Borch: A Deep Universal Probabilistic Programming Language	Sep 13, 2022	Probabilistic Programming	CodeCode Available	5
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language	Jan 31, 2019	Bayesian OptimizationGaussian Processes	CodeCode Available	5
Pyro: Deep Universal Probabilistic Programming	Oct 18, 2018	GPUProbabilistic Programming	CodeCode Available	5
Automatic Reparameterisation of Probabilistic Programs	Jun 7, 2019	Probabilistic Programming	CodeCode Available	5
Accelerating Metropolis-Hastings with Lightweight Inference Compilation	Oct 23, 2020	Probabilistic Programming	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

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