Jeremy H. M. Wong

Distilling Distributional Uncertainty from a Gaussian Process

A Neural Network (NN) may exhibit overconfidence about wrong hypotheses, especially for Out-Of-Domain (OOD) inputs. A Gaussian process (GP) instead has an explainable distributional uncertainty behaviour, by predicting hypotheses with greater uncertainty for query inputs further from the training da…