Unlock: Bayesian Neural Networks

Place a prior over neural network weights and compute the posterior given data. Exact inference is intractable, so we approximate: variational inference, MC dropout, Laplace approximation, SWAG. Principled uncertainty, high cost, limited scaling evidence.