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Identifiability and Transportability in Dynamic Causal Networks
Dustin Tran: What might deep learners learn from probabilistic programming
Causal Probabilistic Programming: Automating Reasoning In Simulation Models
MIA: Dustin Tran and Chris Suter, What might machine learners learn from probabilistic programming
Dustin Tran: Edward - A library for probabilistic modeling, inference, and criticism
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Last Updated: October 3, 2026
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Edward is a Python library for probabilistic MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: ... Probabilistic Programming with GPs Author: Gilles Blondel, Universitat Politècnica de Catalunya Abstract: In this paper we propose a [Chair] Okay the next speaker is See NYC ML Meetup page for longer description meetup.com/NYC-Machine-Learning/events/236943279/
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