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UID:pretalx-juliacon2024-FYFNAR@pretalx.com
DTSTART;TZID=CET:20240711T140000
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DESCRIPTION:We present a package for [Recursive Causal Discovery](https://a
 rxiv.org/abs/2403.09300) for learning the causal relationships between var
 iables. The package\, called RecursiveCausalDiscovery.jl\, contains\, so f
 ar\, the implementation of one algorithm called Recursive Structural Learn
 ing (RSL)\, which efficiently utilizes underlying side-information about t
 he structure of the graph that relates the variables to one another.
DTSTAMP:20260317T123319Z
LOCATION:Method (1.5)
SUMMARY:Recursive Causal Discovery with Julia - Sepehr Elahi
URL:https://pretalx.com/juliacon2024/talk/FYFNAR/
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