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DeepProxyCausalLearninganditsApplicationto ConfoundedBanditPolicyEvaluation

Neural Information Processing Systems

Proxy causal learning (PCL) isamethod forestimating thecausal effectoftreatments on outcomes in the presence of unobserved confounding, usingproxies (structured side information) for the confounder.


TheLabelComplexityofActiveLearningfrom ObservationalData

Neural Information Processing Systems

In this problem, the learner is given observational data - a set of examples selected according to some policy along with their labels - as well as access to the policy that selects the examples, and the goal is to construct a classifier with high performance on an entire population, notjusttheobservational data distribution.





AHA: Human-Assisted Out-of-Distribution Generalization and Detection

Neural Information Processing Systems

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.