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10/26/2022
A Variational Inequality Model for Learning Neural Networks
Neural networks have become ubiquitous tools for solving signal and imag...
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11/02/2020
c-lasso – a Python package for constrained sparse and robust regression and classification
We introduce c-lasso, a Python package that enables sparse and robust li...
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03/04/2019
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications
Compositional data sets are ubiquitous in science, including geology, ec...
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05/16/2018
Perspective Maximum Likelihood-Type Estimation via Proximal Decomposition
We introduce an optimization model for maximum likelihood-type estimatio...
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06/06/2015