M. Nickel

It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces

This paper proposes a novel approach that approximates the resulting joint uncertainty using a low-rank plus diagonal covariance structure, capturing essential output correlations while avoiding the computational burdens of full covariance matrices.