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Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... [LAFI'24] Effective Sequential Monte Carlo for Language Model This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... Jules Jacobs (Radboud University Nijmegen) Paper: Abstract
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Tutorial: Probabilistic Programming
Fritz Obermeyer - Probabilistic Programming and Readable Models | PyData Yerevan 2022
Martin Jankowiak - Brief Introduction to Probabilistic Programming
Tutorial: Probabilistic Programming
Probabilistic Programming
[LAFI'24] Effective Sequential Monte Carlo for Language Model Probabilistic Programs
AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT
[POPL 2021] Paradoxes of probabilistic programming (full)
James Nightingale - PyAutoFit: A Classy Probabilistic Programming Language For Data Science
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Last Updated: June 9, 2026
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