There is a way to make Bayesian predictions by simply training a single standard neural network. We call it Prior-data Fitted Networks (PFNs). As the name says, PFNs are trained on samples of prior data. That means we generate datasets from the prior and train a single neural network to make predictions one one subset … Continue reading PFNs