The robust isolated calmness of spectral norm regularized convex matrix optimization problems
This article aims to provide a series of characterizations of the robust isolated calmness of the Karush-Kuhn-Tucker (KKT) mapping for spectral norm regularized convex optimization problems. By establishing the variational properties of the spectral norm
Yin Ziran, Chen Xiaoyu, Zhang Jihong
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On the local metric property for Hüsler–Reiss graphical models
Many multivariate data sets exhibit a form of positive dependence, which can either appear globally between all variables or only locally within particular subgroups.
Röttger Frank, Schmitz Quentin
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A projective splitting algorithm for solving generalized mixed variational inequalities
In this paper, a projective splitting method for solving a class of generalized mixed variational inequalities is considered in Hilbert spaces. We investigate a general iterative algorithm, which consists of a splitting proximal point step followed by a ...
Zou Yun-zhi, Xia Fu-quan
doaj
Optimal transport of vector measures. [PDF]
Ciosmak KJ.
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A fast continuous time approach with time scaling for nonsmooth convex optimization. [PDF]
Boţ RI, Karapetyants MA.
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Time Rescaling of a Primal-Dual Dynamical System with Asymptotically Vanishing Damping. [PDF]
Hulett DA, Nguyen DK.
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Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates. [PDF]
Boţ RI, Csetnek ER, Nguyen DK.
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Tensor methods for finding approximate stationary points of convex functions. [PDF]
Grapiglia GN, Nesterov Y.
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Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
Doikov N, Nesterov Y.
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Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy. [PDF]
Lampariello L, Sagratella S.
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