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  • title: Mixture Proportion Estimation and PU Learning: A Modern Approach
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            Mixture Proportion Estimation and PU Learning: A Modern Approach
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            Mixture Proportion Estimation and PU Learning: A Modern Approach

            Dec 6, 2021

            Speakers

            SG
            SG

            Saurabh Garg

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            Yifan Wu

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            AJS

            Alexander J. Smola

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            About

            Given only positive examples and unlabeled examples (from both positive and negative classes), we might hope nevertheless to estimate an accurate positive-versus-negative classifier. Formally, this task is broken down into two subtasks: (i) Mixture Proportion Estimation (MPE)—determining the fraction of positive examples in the unlabeled data; and (ii) PU-learning—given such an estimate, learning the desired positive-versus-negative classifier. Unfortunately, classical methods for both problems…

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            NeurIPS 2021

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