BriefGPT.xyz
Oct, 2019
在潜变量存在的情况下基于排序的因果结构学习
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
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Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
TL;DR
本文提出一种基于得分的方法来学习因果图，探讨了如何在存在潜在混淆因素的情况下进行因果结构的发现，并通过提出的贪心算法在合成数据上与现有算法进行比较。
Abstract
We consider the task of learning a
causal graph
in the presence of
latent confounders
given i.i.d.~samples from the model. While current algorithms for causal structure discovery in the presence of
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