4 papers · 1 filter
Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing
Brandon Gower-Winter, Georg Krempl
In many domains such as Palliative Care, Credit Assignment and Recommender Systems, predictions may causally influence the outcomes they predict. This phenomena is known as Outcome…
The Window Dilemma: Why Concept Drift Detection is Ill-Posed
Brandon Gower-Winter, Misja Groen, Georg Krempl
Non-stationarity of an underlying data generating process that leads to distributional changes over time is a key characteristic of Data Streams. This phenomenon, commonly referred…
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks
Maciej Makowski, Brandon Gower-Winter, Georg Krempl
Performative Drift is a special type of Concept Drift that occurs when a model's predictions influence the future instances the model will encounter. In these settings, retraining…
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy +2
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 dri…