RAMEN identifies treatment effects from multiple environments in a doubly robust manner by leveraging data heterogeneity without requiring the causal graph.
Graphical criteria for efficient total effect estimation via adjustment in causal linear models
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Doubly robust identification of treatment effects from multiple environments
RAMEN identifies treatment effects from multiple environments in a doubly robust manner by leveraging data heterogeneity without requiring the causal graph.