Active inference framework for U-statistics using augmented IPW to optimize label queries and minimize variance under budget constraints.
Proceedings of the National Academy of Sciences , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
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Proposes a calibration-based estimator for transported average treatment effects that is consistent under correct specification and achieves semiparametric efficiency with large observational data.
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Learning U-Statistics with Active Inference
Active inference framework for U-statistics using augmented IPW to optimize label queries and minimize variance under budget constraints.
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Transporting treatment effects by calibrating large-scale observational outcomes
Proposes a calibration-based estimator for transported average treatment effects that is consistent under correct specification and achieves semiparametric efficiency with large observational data.