Instrumental variables (IVs), sources of treatment randomization that are conditionally independent the outcome, play an important role in causal inference with unobserved confounders. However, existing IV-based counterfactual prediction methods need well-predefined IVs, while it’s art rather than science to find valid IVs many real-world scenes. Moreover, predefined hand-made could be weak or ...