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Papers matching “debiased Lasso” 6

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Uncertainty quantification in machine learning: confidence intervals for high-dimensional regression
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe

0

citations
With or Without Replacement? Improving Confidence in Fourier Imaging
2024 arXiv (Cornell University) preprint Medicine Advanced MRI Techniques and Applications Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Irene Menzel, Holger Rauhut

0

citations
With or Without Replacement? Improving Confidence in Fourier Imaging
2024 conference-paper Medicine Advanced MRI Techniques and Applications

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Irene Menzel, Holger Rauhut

0

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Engineering Fault Detection and Control Systems Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
High-Dimensional Confidence Regions in Sparse MRI
2023 conference-paper Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut

5

citations
Uncertainty quantification for sparse Fourier recovery
2025 SSRN Electronic Journal preprint Engineering Photoacoustic and Ultrasonic Imaging Open access

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut

0

citations

6 results