Multivariate Bayesian Last Layer for Regression with Uncertainty Quantification and Decomposition

Han Wang, Eiji Kawasaki, Guillaume Damblin +1

We present new Bayesian Last Layer neural network models in the setting of multivariate regression under heteroscedastic noise, and propose EM algorithms for parameter learning. Ba…