Introduction to Popl 26 Probabilistic Programming With Vectorized Programmable Inference
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Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
[PLDI'26] [SIGPLAN OOPSLA’25] Probabilistic Inference for Datalog with Correlated Inputs
AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT
Accelerating Data Science with HPC: Probabilistic Programming, Inference Compilation, Wood
[POPL'26] Local Contextual Type Inference
An intro to Probabilistic Programming with Ubers Pyro
[POPL'23] Smoothness Analysis for Probabilistic Programs with Application to Optimised Var...
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
[PLDI SRC'26] Impulse: Momentously Fast, General, and Portable Probabilistic Programming via(…)
[POPL'26] The Relative Monadic Metalanguage
Boosting LLM Agent Accuracy: Proving Rocq Theorems with PPDL
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Last Updated: August 17, 2026
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