Sample efficient active learning of causal trees

Neural information processing systems foundation. All rights reserved. We consider the problem of experimental design for learning causal graphs that have a tree structure. We propose an adaptive framework that determines the next intervention based on a Bayesian prior updated with the outcomes of p...

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Bibliographic Details
Main Authors: Greenewald, Kristjan, Katz, Dmitriy, Shanmugam, Karthikeyan, Magliacane, Sara, Kocaoglu, Murat, Boix-Adsera, Enric, Bresler, Guy
Other Authors: MIT-IBM Watson AI Lab
Format: Article
Language:English
Published: Morgan Kaufmann Publishers 2021
Online Access:https://hdl.handle.net/1721.1/130081