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math.OC2016
The variable metric forward-backward splitting algorithm under mild differentiability assumptions
Saverio Salzo
We study the variable metric forward-backward splitting algorithm for convex minimization problems without the standard assumption of the Lipschitz continuity of the gradient. In t…
math.OC2016
Generalized support vector regression: duality and tensor-kernel representation
Saverio Salzo, Johan A. K. Suykens
In this paper we study the variational problem associated to support vector regression in Banach function spaces. Using the Fenchel-Rockafellar duality theory, we give explicit for…