Anand A. Joshi

Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers

Quantile Regression (QR) can be used to estimate aleatoric uncertainty in deep neural networks and can generate prediction intervals. Quantifying uncertainty is particularly important in critical applications such as clinical diagnosis, where a realistic assessment of uncertainty is essential in det…