Exact continuous relaxations of ℓ0-regularized criteria with non-quadratic data terms

We consider the minimization of ℓ0-regularized criteria involving non-quadratic data terms such as the Kullback-Leibler divergence and the logistic regression, possibly combined with an ℓ2 regularization. We first prove the existence of global minimizers for such problems and characterize their loca...

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Vydané v:	Journal of global optimization Ročník 93; číslo 3; s. 651 - 699
Hlavní autori:	Essafri, Mhamed, Calatroni, Luca, Soubies, Emmanuel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Nature B.V 01.11.2025 Springer Verlag
Predmet:	Algorithms Approximation Convex analysis Convexity Criteria Fines & penalties Mathematics Optimization Regression analysis Regularization Sparsity
ISSN:	0925-5001, 1573-2916
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