arXiv stat.ML
· Papers
Worst-Case Distance-Aware Error Bounds for Neural Networks
arXiv:2510.22021v3 Announce Type: replace-cross Abstract: Safety-critical applications of machine learning require uncertainty estimates that support reliable worst-case analysis. Neural networks (NNs) provide expressive function approximation, while Gaussian processes (GPs) offer principled probabilistic uncertainty,