Reading List

These papers, books, and essays serve as a shared basis of knowledge for the MIT Probabilistic Computing Project.

Non-Technical Background

Technical Background

Probabilistic Programming

Probabilistic Programming (Optional, Outdated)

Foundations of Probabilistic Modeling (Required)

Standard Library of Modeling Techniques

Standard Library of Inference Techniques

Useful Examples (Optional)

Automatic Model Discovery (Optional)

Reference Material on Approximate Inference (Optional)

Selecting Actions (Optional)