no code implementations • 2 May 2024 • Han Wang, Eiji Kawasaki, Guillaume Damblin, Geoffrey Daniel
We present new Bayesian Last Layer models in the setting of multivariate regression under heteroscedastic noise, and propose an optimization algorithm for parameter learning.