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09/14/2023
Uncertainty quantification for learned ISTA
Model-based deep learning solutions to inverse problems have attracted i...
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12/30/2022
Uncertainty quantification for sparse Fourier recovery
One of the most prominent methods for uncertainty quantification in high...
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07/18/2022
Non-negative Least Squares via Overparametrization
In many applications, solutions of numerical problems are required to be...
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06/03/2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
We propose an iterative algorithm for low-rank matrix completion that ca...
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12/22/2020
Iteratively Reweighted Least Squares for ℓ_1-minimization with Global Linear Convergence Rate
Iteratively Reweighted Least Squares (IRLS), whose history goes back mor...
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11/19/2018