On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
arXiv:2605.09757v1 Announce Type: cross
Abstract: Providing non-conservative uncertainty quantification for function estimates derived from noisy observations remains a fundamental challenge in statistical machine learning, particularly for applicatio…