no code implementations • NeurIPS 2021 • Pierre Segonne, Yevgen Zainchkovskyy, Søren Hauberg
As one cannot train without data, we provide mechanisms for generating pseudo-inputs in informative low-density regions of the input space, and show how to leverage these in a practical Bayesian framework that casts a prior distribution over the model uncertainty.
