Liel Leman

A geometric method for improved uncertainty estimation in real-time

Machine learning classifiers are probabilistic in nature, and thus inevitably involve uncertainty. Predicting the probability of a specific input to be correct is called uncertainty (or confidence) estimation and is crucial for risk management.Post-hoc model calibrations can improve models’ uncertai…