Bayesian Evidential Deep Learning with PAC Regularization

Manuel Haussmann, Sebastian Gerwinn, Melih Kandemir

We propose a novel method for closed-form predictive distribution modeling with neural nets. In quantifying prediction uncertainty, we build on Evidential Deep Learning, which has…