Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes

5 Mar 2019Biwei HuangKun ZhangJiji ZhangJoseph RamseyRuben Sanchez-RomeroClark GlymourBernhard Schölkopf

It is commonplace to encounter heterogeneous or nonstationary data, of which the underlying generating process changes across domains or over time. Such a distribution shift feature presents both challenges and opportunities for causal discovery... (read more)

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