Teodora Popordanoska

Bandwidth Selection in Kernel Density Estimation for Model Calibration

Han Zhou, Teodora Popordanoska, Matthew Blaschko

As deep learning models are increasingly deployed in high-stakes applications, providing well-calibrated uncertainty estimates has become as critical as achieving high predictive accuracy. While Kernel Density Estimation (KDE) has emerged as a smooth and continuous alternative to…Read more