most citedSymplecticity-Preserving Prediction of Hamiltonian Dynamics by Generalized Kernel Interpolation

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math.ST2025

Convergence Rates for Realizations of Gaussian Random Variables

Daniel Winkle, Ingo Steinwart, Bernard Haasdonk

This paper investigates the approximation of Gaussian random variables in Banach spaces, focusing on the high-probability bounds for the approximation of Gaussian random variables…

math.ST2025

Convergence Analysis of a Greedy Algorithm for Conditioning Gaussian Random Variables

Daniel Winkle, Ingo Steinwart, Bernard Haasdonk

In the context of Gaussian conditioning, greedy algorithms iteratively select the most informative measurements, given an observed Gaussian random variable. However, the convergenc…