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Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity
Granger causality characterizes directed predictive dependencies in multivariate time series, but recovering such dependencies becomes challenging in the presence of latent confounding. Cross-environment invariance provides a natural source of information in heterogeneous settings, yet invariance al
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