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Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Probabilistic Programming Tutorial Part 1
[POPL 2021] Paradoxes of probabilistic programming (full)
[PLDI'26] [SIGPLAN OOPSLA’25] Counterexample-Guided Inference of Modular Specifications
[PLDI'26] Categorical Semantics of Probabilistic Symbolic Execution
Martin Jankowiak - Brief Introduction to Probabilistic Programming
Infer.py: Probabilistic Programming and Bayesian Inference from Python; SciPy 2013 Presentation
[POPL'26] The Relative Monadic Metalanguage
Paradigms of Probabilistic Programming
[PLDI24] Probabilistic Programming with Programmable Variational Inference
Stop Majority Voting! Master Sequential Monte Carlo for LLM Inference Scaling
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Last Updated: August 23, 2026
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