Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks

10 Dec 2017Stefan DepewegJosé Miguel Hernández-LobatoSteffen UdluftThomas Runkler

We derive a novel sensitivity analysis of input variables for predictive epistemic and aleatoric uncertainty. We use Bayesian neural networks with latent variables as a model class and illustrate the usefulness of our sensitivity analysis on real-world datasets... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.