IncorporatingInterpretableOutputConstraints inBayesianNeuralNetworks

The ability to encode informative functional beliefs in BNN priors can significantly reduce the bias and uncertainty of the posterior predictive, especially in regions of input space sparsely coveredbytraining data[27].