Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks
arXiv:2502.02345v2 Announce Type: replace
Abstract: Subspace inference for neural networks assumes that a subspace of their parameter space suffices to produce a reliable uncertainty quantification. In this work, we underpin the validity of this assum…