Proxy causal learning (PCL) isamethod forestimating thecausal effectoftreatments on outcomes in the presence of unobserved confounding, usingproxies (structured side information) for the confounder.
This paper introduces a novel, integrated approach AHA ( A daptive H uman-A ssisted OOD learning) to simultaneously address both OOD generalization and detection through a human-assisted framework by labeling data in the wild.