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math.OC2025
Optimization landscape of -Bregman relaxations
Jonathan Chirinos-Rodríguez, Cédric Févotte, Emmanuel Soubies
In this paper, we study (noisy) linear systems, and their -regularized optimization problems, coupled with general data fidelity terms. Recent approaches for solving this c…
math.OC2025
Box-constrained L0 Bregman-relaxations
Mhamed Essafri, Luca Calatroni, Emmanuel Soubies
Regularization using the L0 pseudo-norm is a common approach to promote sparsity, with widespread applications in machine learning and signal processing. However, solving such prob…