Arno Siebes

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams

Concept Drift has been extensively studied within the context of Stream Learning. However, it is often assumed that the deployed model's predictions play no role in the concept drift the system experiences. Closer inspection reveals that this is not always the case. Automated trading might be prone…