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NeurIPS | 2022
Anomaly Detection with Multiple Reference Datasets
Abstract
This paper proposes generalizations of CWOLA and SALAD, which exploit multiple reference datasets to improve performance in resonant anomaly detection, and provides finite-sample guarantees to go beyond existing asymptotic analyses.