Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
Junkun Yuan,
Anpeng Wu,
Kun Kuang
et al.
Abstract:Instrumental variables (IVs), sources of treatment randomization that are conditionally independent of the outcome, play an important role in causal inference with unobserved confounders. However, the existing IV-based counterfactual prediction methods need well-predefined IVs, while it's an art rather than science to find valid IVs in many real-world scenes. Moreover, the predefined hand-made IVs could be weak or erroneous by violating the conditions of valid IVs. These thorny facts hinder the application of … Show more
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