Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data

arXiv:2312.06091v2 Announce Type: replace
Abstract: We study the problem of identifying the unknown intervention targets in structural causal models where we have access to heterogeneous data collected from multiple environments. The unknown intervention targets are the set of endogenous variables whose corresponding exogenous noises change across the environments. We propose a two-phase approach which in the first phase recovers the exogenous noises corresponding to unknown intervention targets whose distributions have changed across environments. In the second phase, the recovered noises …

abstract arxiv causal change cs.ai cs.it cs.lg data endogenous environments exogenous math.it multiple set stat.ml study targets the unknown type variables