The Label Complexity of Active Learning from Observational Data

NeurIPS 2019 Songbai YanKamalika ChaudhuriTara Javidi

Counterfactual learning from observational data involves learning a classifier on an entire population based on data that is observed conditioned on a selection policy. This work considers this problem in an active setting, where the learner additionally has access to unlabeled examples and can choose to get a subset of these labeled by an oracle... (read more)

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