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03/27/2023
Square Root LASSO: Well-posedness, Lipschitz stability and the tuning trade off
This paper studies well-posedness and parameter sensitivity of the Squar...
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07/20/2022
Learning from few examples: Classifying sex from retinal images via deep learning
Deep learning has seen tremendous interest in medical imaging, particula...
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07/19/2022
A coherence parameter characterizing generative compressed sensing with Fourier measurements
In Bora et al. (2017), a mathematical framework was developed for compre...
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05/13/2022
LASSO reloaded: a variational analysis perspective with applications to compressed sensing
This paper provides a variational analysis of the unconstrained formulat...
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10/17/2020
On the best choice of Lasso program given data parameters
Generalized compressed sensing (GCS) is a paradigm in which a structured...
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10/13/2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures
Generative neural networks (GNNs) have gained renown for efficaciously c...
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10/29/2018