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Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence
Finding and describing sub-populations that are exceptional regarding a target property has important applications in many scientific disciplines, from identifying disadvantaged demographic groups in census data to finding conductive molecules within gold nanoparticles.
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups
That is, these sub-populations are exceptional with regard to the global distribution.
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