A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.

Veit David Wild Sahra Ghalebikesabi Dino Sejdinovic Jeremias Knoblauch

Published in: CoRR (2023)

Keyphrases

bayesian methods
gaussian processes
bayesian framework
model selection
decision trees
machine learning
machine learning methods
prior knowledge
bayesian models
optical flow
hyperparameters
variational methods
learning algorithm
image segmentation
lower bound
image reconstruction