Introduction to Popl 26 Probabilistic Programming With Vectorized Programmable Inference
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[POPL'26] The Relative Monadic Metalanguage
An intro to Probabilistic Programming with Ubers Pyro
[POPL'26] Local Contextual Type Inference
AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Probabilistic Programming with Programmable Inference
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Boosting LLM Agent Accuracy: Proving Rocq Theorems with PPDL
[POPL'26] Big-Stop Semantics: Small-Step Semantics in a Big-Step Judgment
[POPL'26] Medium-scale automation for proof assistants
[PLDI'26] [SIGPLAN OOPSLA’25] Probabilistic Inference for Datalog with Correlated Inputs
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Last Updated: August 15, 2026
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