Published in pre-print, 2022
A flexible conformal inference method is developed to construct confidence intervals for the frequencies of queried objects in a very large data set, based on the information contained in a much smaller sketch of those data.
Recommended citation: Einbinder, Romano, Sesia, and Zhou (2022). "Training Uncertainty-Aware Classifiers with Conformalized Deep Learning." arXiv. https://arxiv.org/abs/2205.05878