research
∙
05/25/2022
Gradient-based explanations for Gaussian Process regression and classification models
Gaussian Processes (GPs) have proven themselves as a reliable and effect...
share
research
∙
04/22/2022
A piece-wise constant approximation for non-conjugate Gaussian Process models
Gaussian Processes (GPs) are a versatile and popular method in Bayesian ...
research
∙
09/08/2021
Self-explaining variational posterior distributions for Gaussian Process models
Bayesian methods have become a popular way to incorporate prior knowledg...
research
∙
04/19/2021
