Performative prediction is a recently proposed framework where predictions guide decision-
making and hence influence future data distributions. Such performative phenomena are …

In performative prediction, predictions guide decision-making and hence can influence the
distribution of future data. To date, work on performative prediction has focused on finding …

In performative prediction, a predictive model impacts the distribution that generates future
data, a phenomenon that is being ignored in classical supervised learning. In this closed …

In performative prediction, the choice of a model influences the distribution of future data,
typically through actions taken based on the model's predictions. We initiate the study of …

When predictions are performative, the choice of which predictor to deploy influences the
distribution of future observations. The overarching goal in learning under performativity is to …

This paper studies a risk minimization problem with decision dependent data distribution.
The problem pertains to the performative prediction setting where a trained model can affect …

This paper studies the performative prediction problem where a learner aims to minimize the
expected loss with a decision-dependent data distribution. Such setting is motivated when …

This paper studies the performative prediction problem where a learner aims to minimize the
expected loss with a decision-dependent data distribution. Such setting is motivated when …

In this paper, we propose a general distributionally robust framework for performative
optimization, where the selected decision can influence the probabilistic distribution of …

In performative prediction, the deployment of a predictive model triggers a shift in the data
distribution. As these shifts are typically unknown ahead of time, the learner needs to deploy …