When Has a Bayesian Neural Network Sampled Enough? Adaptive Inference Time with Statistical Guarantees.

arXiv:2610.12212v1 Announce Type: new Abstract: Bayesian neural network predictions are commonly approximated using a fixed number of Monte Carlo samples per input, without controlling the resulting error that comes from this finite sample. We propose the use