Claudio Mayrink Verdun

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Reweighted Least Squares

Additive Models

Sparse Regression

Matrix Completion

Top Venues

Publications

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 (2024)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. CoRR (2024)
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR (2024)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
High-Dimensional Confidence Regions in Sparse MRI. CoRR (2024)
Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, Peter Jung
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence. COLT (2024)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
High-Dimensional Confidence Regions in Sparse MRI. ICASSP (2023)
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut
Uncertainty quantification for learned ISTA. CoRR (2023)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Uncertainty Quantification For Learned ISTA. MLSP (2023)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
Uncertainty quantification for sparse Fourier recovery. CoRR (2022)
Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun
Non-negative Least Squares via Overparametrization. CoRR (2022)
Christian Kümmerle, Claudio Mayrink Verdun
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. ICML (2021)
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate. NeurIPS (2021)
Christian Kümmerle, Claudio Mayrink Verdun
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. CoRR (2021)
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
-minimization with Global Linear Convergence Rate. CoRR (2020)
Christian Kümmerle, Claudio Mayrink Verdun
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method. CoRR (2020)
Christian Kümmerle, Claudio Mayrink Verdun
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares. CoRR (2018)