On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise

Johannes Teutsch, Oleksii Molodchyk, Marion Leibold +2

Providing non-conservative uncertainty quantification for function estimates derived from noisy observations remains a fundamental challenge in statistical machine learning, partic…