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Stochastic Optimization for Performative Prediction
2020 · arXiv (Cornell University)
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 stochastic optimization for performative prediction. What sets …
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Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling
2025 · arXiv (Cornell University)
Machine learning models are increasingly used to produce predictions that serve as input data in subsequent statistical analyses. For example, computer vision predictions of economic and environmental indicators based on satellite imagery are used in …