2 papers
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…
stat.ML2018
Deep Architectures for Learning Context-dependent Ranking Functions
Karlson Pfannschmidt, Pritha Gupta, Eyke Hüllermeier
Object ranking is an important problem in the realm of preference learning. On the basis of training data in the form of a set of rankings of objects, which are typically represent…