Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning

9 Jun 2020Xiaoshui HuangFujin ZhuLois HollowayAli Haidar

Discovering causal structure among a set of variables is a fundamental problem in many domains. However, state-of-the-art methods seldom consider the possibility that the observational data has missing values (incomplete data), which is ubiquitous in many real-world situations... (read more)

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