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ORCIDClaudio Mayrink Verdun
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2020 – today
- 2024
[c6]Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, Peter Jung:
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence. COLT 2024: 3823-3872- [c5]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut:
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. ECCV (78) 2024: 432-450 - [i12]Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon:
Multi-Group Proportional Representation. CoRR abs/2407.08571 (2024) - [i11]Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut:
With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR abs/2407.13575 (2024) - [i10]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut:
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. CoRR abs/2407.13666 (2024) - [i9]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
High-Dimensional Confidence Regions in Sparse MRI. CoRR abs/2407.18964 (2024) - [i8]Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks:
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. CoRR abs/2408.00113 (2024) - 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)
Coauthor Index
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