Meta learning for causal direction

The inaccessibility of controlled randomized trials due to inherent constraints in many fields of science has been a fundamental issue in causal inference. In this paper, we focus on distinguishing the cause from effect in the bivariate setting under limited observational data. Based on recent devel...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ton, J-F, Sejdinovic, D, Fukumizu, K
Μορφή: Conference item
Γλώσσα:English
Έκδοση: Association for the Advancement of Artificial Intelligence 2021