Uncertainty quantification for sparse Fourier recovery

30 December 2022

Papers citing "Uncertainty quantification for sparse Fourier recovery"

6 / 6 papers shown

Title
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 14 1 0 18 Jul 2024
High-Dimensional Confidence Regions in Sparse MRI Frederik Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 21 5 0 18 Jul 2024
With or Without Replacement? Improving Confidence in Fourier Imaging Frederik Hoppe C. M. Verdun Felix Krahmer Marion I. Menzel Holger Rauhut 21 0 0 18 Jul 2024
Uncertainty quantification for learned ISTA Frederik Hoppe C. M. Verdun Felix Krahmer Hannah Laus Holger Rauhut UQCV 23 3 0 14 Sep 2023
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 99 160 0 17 Jan 2013
$On Verifiable Sufficient Conditions for Sparse Signal Recovery via $\ell_1$ Minimization$ On Verifiable Sufficient Conditions for Sparse Signal Recovery via $\ell_1$ Minimization A. Juditsky A. Nemirovski 104 141 0 16 Sep 2008