Oopsla 25 Multi Language Probabilistic Programming

By Editorial Team · September 27, 2026 · 6 min read

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'25] Language-Parametric Reference Synthesis Update
Explore the main sources for Oopsla 25 Multi Language Probabilistic Programming.

Developments

Information [OOPSLA] Probability Type Inference for Flexible Approximate Programming 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] A Multi-language Approach to Probabilistic Program Inference
[LAFI'24] A Multi-language Approach to Probabilistic Program Inference
Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019
Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019
[LAFI'25] Exact Inference for Nested Discrete Probabilistic Programs (Remote)
[LAFI'25] Exact Inference for Nested Discrete Probabilistic Programs (Remote)
Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages like PyMC3
Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages like PyMC3
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
[POPL 2021] Paradoxes of probabilistic programming (full)
[POPL 2021] Paradoxes of probabilistic programming (full)
[OOPSLA'25] Structural Information Flow: A Fresh Look at Types for Non-Interference
[OOPSLA'25] Structural Information Flow: A Fresh Look at Types for Non-Interference
Causal Probabilistic Programming: Automating Reasoning In Simulation Models
Causal Probabilistic Programming: Automating Reasoning In Simulation Models
Steven Holtzen: Modular Exact Inference for Discrete Probabilistic Programs
Steven Holtzen: Modular Exact Inference for Discrete Probabilistic Programs
Michael Tingley: Probabilistic programming @ FB
Michael Tingley: Probabilistic programming @ FB

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: September 27, 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 ... 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 Structural Information Flow: A Fresh Look at Types for Non-interference (Video, OOPSLA2 2025) Hemant Gouni, Frank Pfenning, ... Motivating Example of a Discrete Problem ... "Big Data problems are all over the place at Facebook. We've historically used discriminative methods such as neural networks ...

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