Cross-Prediction-Powered Inference

arXiv:2309.16598v3 Announce Type: replace-cross
Abstract: While reliable data-driven decision-making hinges on high-quality labeled data, the acquisition of quality labels often involves laborious human annotations or slow and expensive scientific measurements. Machine learning is becoming an appealing alternative as sophisticated predictive techniques are being used to quickly and cheaply produce large amounts of predicted labels; e.g., predicted protein structures are used to supplement experimentally derived structures, predictions of socioeconomic indicators from satellite imagery are used to supplement accurate survey data, and …

abstract acquisition annotations arxiv cs.lg data data-driven decision human inference labels machine machine learning making prediction predictive protein protein structures quality stat.me stat.ml type