Results 31 to 40 of about 106 (96)
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. [PDF]
Banjac G, Lygeros J.
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New duality results for evenly convex optimization problems. [PDF]
Fajardo MD, Grad SM, Vidal J.
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Local convergence of tensor methods. [PDF]
Doikov N, Nesterov Y.
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Implementable tensor methods in unconstrained convex optimization. [PDF]
Nesterov Y.
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Employing different loss functions for the classification of images via supervised learning
Boţ Radu, Heinrich André, Wanka Gert
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A forward-backward penalty scheme with inertial effects for monotone inclusions. Applications to convex bilevel programming. [PDF]
Boţ RI, Nguyen DK.
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Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints. [PDF]
Boţ RI, Nguyen DK, Zong C.
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Second Order Dynamics Featuring Tikhonov Regularization and Time Scaling. [PDF]
Csetnek ER, Karapetyants MA.
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