Presents a conformalized closed testing framework for collective outlier detection and enumeration that automatically selects suitable machine learning classifiers and two-sample tests for a given dataset.
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Collective Outlier Detection and Enumeration with Conformalized Closed Testing
Presents a conformalized closed testing framework for collective outlier detection and enumeration that automatically selects suitable machine learning classifiers and two-sample tests for a given dataset.