2 papers
cs.LG2023
Uncertainty Estimation based on Geometric Separation
Gabriella Chouraqui, Liron Cohen, Gil Einziger +1
In machine learning, accurately predicting the probability that a specific input is correct is crucial for risk management. This process, known as uncertainty (or confidence) estim…
cs.LG2022
A Geometric Method for Improved Uncertainty Estimation in Real-time
Gabriella Chouraqui, Liron Cohen, Gil Einziger +1
Machine learning classifiers are probabilistic in nature, and thus inevitably involve uncertainty. Predicting the probability of a specific input to be correct is called uncertaint…