Claudio Mayrink Verdun

According to our database, Claudio Mayrink Verdun authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Uncertainty Quantification For Learned ISTA.

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

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

High-Dimensional Confidence Regions in Sparse MRI.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Uncertainty quantification for sparse Fourier recovery.

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

CoRR, 2022

Non-negative Least Squares via Overparametrization.

Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun

CoRR, 2022

2021

Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate.

Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples.

Christian Kümmerle, Claudio Mayrink Verdun

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Iteratively Reweighted Least Squares for 𝓁₁-minimization with Global Linear Convergence Rate.

Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger

CoRR, 2020

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method.

Christian Kümmerle, Claudio Mayrink Verdun

CoRR, 2020

2018

Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares.

Christian Kümmerle, Claudio Mayrink Verdun

CoRR, 2018