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Martin Jankowiak - Brief Introduction to Probabilistic Programming
Webinar: Deep Probabilistic Programming for Finance
[Uber Open Summit 2018] Pyro: Deep Probabilistic Programming
How to Build Reliable LLM Agents with Probabilistic Programming (PPDL)
Probabilistic Programming: The What, Why and How
AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT
Fritz Obermeyer - Probabilistic Programming and Readable Models | PyData Yerevan 2022
PROBABILISTIC MODELING (DEEP LEARNING)
An Introduction to Probabilistic Programming - Nil Geisweiller
Dustin Tran: What might deep learners learn from probabilistic programming
Probabilistic Programming
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Last Updated: September 29, 2026
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Summary
This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... Building multi-step LLM flows and agentic applications is incredibly powerful, but compounding uncertainty makes it hard to trust ... f(x) = y, but y = 5. What's the probability that x =1? This talk shows how to make smarter, safer AI that understands the world we do, using a new symbolic medium that I helped ... [Chair] Okay the next speaker is Dustin Tran, "What might Presented by Hongseok Yang. Presented at POPL'20.
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