On the Complexity of Learning from Label Proportions

7 Apr 2020Benjamin FishLev Reyzin

In the problem of learning with label proportions, which we call LLP learning, the training data is unlabeled, and only the proportions of examples receiving each label are given. The goal is to learn a hypothesis that predicts the proportions of labels on the distribution underlying the sample... (read more)

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