arXiv stat.ML
· Papers
Retraining Seeks Stable Signals
arXiv:2607.15623v1 Announce Type: new Abstract: Predictive models deployed at scale influence future data, a phenomenon called performativity. And there is always one way to cope: Train the model on new data, deploy it again, and repeat. This process, called retraining or repeated risk minimization, creates a feedback