Gen

A General-Purpose Probabilistic Programming System with Programmable Inference

• Getting Started
• Installation
• Quick Start
• Visualization Framework
• Tutorials

Reference

• Built-in Modeling Language
• Annotations
• Making random choices
• Calling generative functions
• Composite addresses
• Return value
• Trainable parameters
• Differentiable programming
• Differencing code
• Static DSL
• Generative Function Combinators
• Map combinator
• Unfold combinator
• Recurse combinator
• Selections
• Optimizing Trainable Parameters
• Parameter update
• Update configurations
• Inference Library
• Importance Sampling
• Markov Chain Monte Carlo
• Optimization over Random Choices
• Particle Filtering
• Supervised Training
• Variational Inference
• Generative Functions
• Mathematical definition
• Traces
• Trace update methods
• Differentiable programming
• Custom generative function types
• Probability Distributions
• Built-In Distributions
• Defining New Distributions