Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles
arXiv:2604.18089v1 Announce Type: cross
Abstract: Bayesian Deep Ensembles (BDEs) represent a powerful approach for uncertainty quantification in deep learning, combining the robustness of Deep Ensembles (DEs) with flexible multi-chain MCMC. While DEs …