Oopsla 25 Multi Language Probabilistic Programming Information Guide

  1. Background of Oopsla 25 Multi Language Probabilistic Programming
  2. Core Information
  3. Developments
  4. Full Guide
  5. Summary

Background of Oopsla 25 Multi Language Probabilistic Programming

Information [OOPSLA'25] Multi-Language Probabilistic Programming News
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Core Information

[OOPSLA] Probability Type Inference for Flexible Approximate Programming Update
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Developments

Information [OOPSLA'25] Language-Parametric Reference Synthesis Guide
Stay updated on Oopsla 25 Multi Language Probabilistic Programming's newest achievements.

Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019
Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019
[LAFI'24] Effective Sequential Monte Carlo for Language Model Probabilistic Programs
[LAFI'24] Effective Sequential Monte Carlo for Language Model Probabilistic Programs
[LAFI'25] Exact Inference for Nested Discrete Probabilistic Programs (Remote)
[LAFI'25] Exact Inference for Nested Discrete Probabilistic Programs (Remote)
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
[LAFI'24] A Multi-language Approach to Probabilistic Program Inference
[LAFI'24] A Multi-language Approach to Probabilistic Program Inference
Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages like PyMC3
Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages like PyMC3
[POPL 2021] Paradoxes of probabilistic programming (full)
[POPL 2021] Paradoxes of probabilistic programming (full)
Probabilistic Programming 101| Yu Xia
Probabilistic Programming 101| Yu Xia
[ICFP/SPLASH'25] Orchid East - SPLASH OOPSLA (Oct 17th)
[ICFP/SPLASH'25] Orchid East - SPLASH OOPSLA (Oct 17th)
Steven Holtzen: Modular Exact Inference for Discrete Probabilistic Programs
Steven Holtzen: Modular Exact Inference for Discrete Probabilistic Programs
[LAFI'26] A Welcome to Causal Probabilistic Programming
[LAFI'26] A Welcome to Causal Probabilistic Programming

Full Guide

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Last Updated: October 18, 2026

Summary

Details [OOPSLA'25] The Simple Essence of Monomorphization Update
For 2026, Oopsla 25 Multi Language Probabilistic Programming remains one of the most talked-about information profiles. Check back for the newest reports.

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Summary

The Simple Essence of Monomorphization (Video, OOPSLA1 2025) Matthew Lutze, Philipp Schuster, and Jonathan Immanuel ... [LAFI'24] Effective Sequential Monte Carlo for Exact Inference for Nested Discrete pldi19.sigplan.org/details/pldi-2019-papers/45/Gen-A-General-Purpose- Jules Jacobs (Radboud University Nijmegen) Paper: dl.acm.org/doi/pdf/10.1145/3434339 Abstract Motivating Example of a Discrete Problem ...

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