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Claudio Mayrink Verdun
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2020 – today
- 2023
- [c4]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
High-Dimensional Confidence Regions in Sparse MRI. ICASSP 2023: 1-5 - [c3]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut:
Uncertainty Quantification For Learned ISTA. MLSP 2023: 1-6 - [i7]Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut:
Uncertainty quantification for learned ISTA. CoRR abs/2309.07982 (2023) - 2022
- [i6]Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun:
Non-negative Least Squares via Overparametrization. CoRR abs/2207.08437 (2022) - [i5]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
Uncertainty quantification for sparse Fourier recovery. CoRR abs/2212.14864 (2022) - 2021
- [c2]Christian Kümmerle, Claudio Mayrink Verdun:
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. ICML 2021: 5872-5883 - [c1]Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger:
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate. NeurIPS 2021: 2873-2886 - [i4]Christian Kümmerle, Claudio Mayrink Verdun:
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. CoRR abs/2106.02119 (2021) - 2020
- [i3]Christian Kümmerle, Claudio Mayrink Verdun:
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method. CoRR abs/2009.02905 (2020) - [i2]Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger:
Iteratively Reweighted Least Squares for 𝓁1-minimization with Global Linear Convergence Rate. CoRR abs/2012.12250 (2020)
2010 – 2019
- 2018
- [i1]Christian Kümmerle, Claudio Mayrink Verdun:
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares. CoRR abs/1811.07472 (2018)
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