2020
Bayesian Image Classification with Deep Convolutional Gaussian Processes
AISTATS 2020poster
In decision-making systems, it is important to have classifiers that have calibrated uncertainties, with an optimisation objective that can be used for automated model selection and training. Gaussian processes (GPs) provide uncertainty estimates and a marginal likelihood objective, but their weak i…