TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

Deep heteroscedastic regression involves jointly optimizing the mean and covariance of the predicted distribution using the negative log-likelihood. However, recent works show that…