Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows

We address two important issues in causal discovery from nonstationary or heterogeneous data, where parameters associated with a causal structure may change over time or across data sets. First, we investigate how to efficiently estimate the “driving force” of the nonstationarity of a causal mechani...

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Bibliografiske detaljer
Udgivet i:Proc IEEE Int Conf Data Min
Main Authors: Huang, Biwei, Zhang, Kun, Zhang, Jiji, Sanchez-Romero, Ruben, Glymour, Clark, Schölkopf, Bernhard
Format: Artigo
Sprog:Inglês
Udgivet: 2017
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6502242/
https://ncbi.nlm.nih.gov/pubmed/31068766
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICDM.2017.114
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