Adaptive Gradient-Based Methods for a Broader Class of Optimization Problems under Performative Prediction

Hiroki Hamaguchi, Yuya Hikima, Hiroshi Sawada +1

We study optimization under performative prediction, where deploying a model affects the future data distribution. For this setting, several gradient-based approaches have been pro…