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Cited article:

Convergence bounds for empirical nonlinear least-squares

Martin Eigel, Reinhold Schneider, Philipp Trunschke

ESAIM: M2AN, 56 1 (2022) 79-104

Published online: 2022-02-07

DOI: https://doi.org/10.1051/m2an/2021070

This article has been cited by the following article(s):

Sample complexity bounds for the local convergence of least squares approximation

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Analysis and Applications 23 (01) 139 (2025)
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https://doi.org/10.1016/bs.aams.2025.02.008

EFFICIENT APPROXIMATION OF HIGH-DIMENSIONAL EXPONENTIALS BY TENSOR NETWORKS

Martin Eigel, Nando Farchmin, Sebastian Heidenreich and P. Trunschke
International Journal for Uncertainty Quantification 13 (1) 25 (2023)
https://doi.org/10.1615/Int.J.UncertaintyQuantification.2022039164

Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs

Martin Eigel, Nando Farchmin, Sebastian Heidenreich and Philipp Trunschke
SIAM Journal on Scientific Computing 45 (2) A457 (2023)
https://doi.org/10.1137/21M1461988

Dynamical low‐rank approximations of solutions to the Hamilton–Jacobi–Bellman equation

Martin Eigel, Reinhold Schneider and David Sommer
Numerical Linear Algebra with Applications 30 (3) (2023)
https://doi.org/10.1002/nla.2463