Xujing Zhou

Stop Guessing: Choosing the Optimization-Consistent Uncertainty Measurement for Evidential Deep Learning

Evidential Deep Learning (EDL) has emerged as a promising framework for uncertainty estimation in classification tasks by modeling predictive uncertainty with a Dirichlet prior. Despite its empirical success, prior work has primarily focused on the probabilistic properties of the Dirichlet distribut…