Jesse Davis

Tractable learning for complex probability queries

2015 · Lirias

Tractable learning aims to learn probabilistic models where inference is guaran-teed to be efficient. However, the particular class of queries that is tractable de-pends on the model and underlying representation. Usually this class is MPE …

How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection

2023 · Lirias (KU Leuven)

Anomaly detection attempts at finding examples that deviate from the expected behaviour. Usually, anomaly detection is tackled from an unsupervised perspective because anomalous labels are rare and difficult to acquire. However, the lack of labels …