2025
Bayesian Inference for Correlated Human Experts and Classifiers
ICML 2025poster
Applications of machine learning often involve making predictions based on both model outputs and the opinions of human experts. In this context, we investigate the problem of querying experts for class label predictions, using as few human queries as possible, and leveraging the class probability e…