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A Causal Inference Framework for Leveraging External Controls in Hybrid Trials
We consider the challenges associated with causal inference in settings where data from a randomized trial is augmented with control data from an external source to improve efficiency in estimating the average treatment effect (ATE).
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
We develop novel methodology for active feature acquisition (AFA), the study of how to sequentially acquire a dynamic (on a per instance basis) subset of features that minimizes acquisition costs whilst still yielding accurate predictions.
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