Claudio Mayrink Verdun

According to our database1, Claudio Mayrink Verdun authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.
CoRR, 2024

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
CoRR, 2024

With or Without Replacement? Improving Confidence in Fourier Imaging.
CoRR, 2024

Multi-Group Proportional Representation.
CoRR, 2024

Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.
Proceedings of the Computer Vision - ECCV 2024, 2024

Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Uncertainty Quantification For Learned ISTA.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

High-Dimensional Confidence Regions in Sparse MRI.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Uncertainty quantification for sparse Fourier recovery.
CoRR, 2022

Non-negative Least Squares via Overparametrization.
CoRR, 2022

2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Iteratively Reweighted Least Squares for 𝓁<sub>1</sub>-minimization with Global Linear Convergence Rate.
CoRR, 2020

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method.
CoRR, 2020

2018
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares.
CoRR, 2018


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