Post-hoc Models for Performance Estimation of Machine Learning Inference

Xuechen Zhang, Samet Oymak, Jiasi Chen

Estimating how well a machine learning model performs during inference is critical in a variety of scenarios (for example, to quantify uncertainty, or to choose from a library of a…