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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.

( Image credit: Michael Betancourt )

Papers

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Showing 201–225 of 273 papers

TitleStatusHype
Using probabilistic programs as proposals—0
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators—0
TensorFlow DistributionsCode2
High Five: Improving Gesture Recognition by Embracing Uncertainty—0
ZhuSuan: A Library for Bayesian Deep LearningCode0
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic ProgramsCode0
Anytime Exact Belief Propagation—0
RankPL: A Qualitative Probabilistic Programming Language—0
Learning Probabilistic Programs Using Backpropagation—0
Importance Sampled Stochastic Optimization for Variational Inference—0
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric BayesCode0
Deep Probabilistic Programming—0
A Convenient Category for Higher-Order Probability Theory—0
Adversarial Message Passing For Graphical Models—0
Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming—0
Summary - TerpreT: A Probabilistic Programming Language for Program Induction—0
A Probabilistic Programming Approach To Probabilistic Data Analysis—0
Better call Saul: Flexible Programming for Learning and Inference in NLPCode0
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric BayesCode0
Inference Compilation and Universal Probabilistic ProgrammingCode0
Consistent Kernel Mean Estimation for Functions of Random Variables—0
Deep Amortized Inference for Probabilistic ProgramsCode0
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models—0
Robust Energy Storage Scheduling for Imbalance Reduction of Strategically Formed Energy Balancing Groups—0
Probabilistic Data Analysis with Probabilistic ProgrammingCode0
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