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math.OC2025
Sparse learning with concave regularization: relaxation of the irrepresentable condition
V. Cerone, S. M. Fosson, D. Regruto +1
Learning sparse models from data is an important task in all those frameworks where relevant information should be identified within a large dataset. This can be achieved by formul…
math.OC2025
Alternating direction method of multipliers for polynomial optimization
V. Cerone, S. M. Fosson, S. Pirrera +1
Multivariate polynomial optimization is a prevalent model for a number of engineering problems. From a mathematical viewpoint, polynomial optimization is challenging because it is…
math.OC2025
Fast sparse optimization via adaptive shrinkage
Vito Cerone, Sophie M. Fosson, Diego Regruto
The need for fast sparse optimization is emerging, e.g., to deal with large-dimensional data-driven problems and to track time-varying systems. In the framework of linear sparse op…