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cs.LG2022
Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets
David Schubert, Pritha Gupta, Marcel Wever
In anomaly detection, a prominent task is to induce a model to identify anomalies learned solely based on normal data. Generally, one is interested in finding an anomaly detector t…
cs.LG2019★ 5 cited
Learning Context-Dependent Choice Functions
Karlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst +1
Choice functions accept a set of alternatives as input and produce a preferred subset of these alternatives as output. We study the problem of learning such functions under conditi…