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Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019
Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019
Stop Majority Voting! Master Sequential Monte Carlo for LLM Inference Scaling
[LAFI'24] A Multi-language Approach to Probabilistic Program Inference
[PLDI'26] [SIGPLAN OOPSLA’25] Counterexample-Guided Inference of Modular Specifications
[OOPSLA'25] The Simple Essence of Monomorphization
[POPL 2021] Paradoxes of probabilistic programming (full)
[PLDI'26] [SIGPLAN OOPSLA’25] Scalable and Accurate Application-Level Crash-Consistency Testing(…)
[PLDI'26] [SIGPLAN OOPSLA’25] Active Learning for Neurosymbolic Program Synthesis
[OOPSLA'25] Structural Information Flow: A Fresh Look at Types for Non-Interference
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Last Updated: August 16, 2026
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