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Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling

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In many contemporary applications, large amounts of unlabeled data are readily available while labeled examples are limited. There has been substantial interest in semi-supervised learning (SSL) which aims to leverage unlabeled data to improve estimation or pr... ...