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Optimization methods for fully composite problems
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2021
Persistent link: https://www.econbiz.de/10012512893
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Convex optimization based on global lower second-order models
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2020
Persistent link: https://www.econbiz.de/10012286409
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Local convergence of tensor methods
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215154
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Contracting proximal methods for smooth convex optimization
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215198
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Towards nonsymmetric conic optimization
Nesterov, Jurij Evgenʹevič (contributor) - 2006
Persistent link: https://www.econbiz.de/10003328790
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Constructing self-concordant barriers for convex cones
Nesterov, Jurij Evgenʹevič (contributor) - 2006
Persistent link: https://www.econbiz.de/10003328798
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Nonsymmetric potential-reduction methods for general cones
Nesterov, Jurij Evgenʹevič (contributor) - 2006
Persistent link: https://www.econbiz.de/10003328868
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Cubic regularization of Newton's method for convex problems with constraints
Nesterov, Jurij Evgenʹevič (contributor) - 2006
Persistent link: https://www.econbiz.de/10003329692
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Efficiency of coordinate descent methods on huge-scale optimization problems
Nesterov, Jurij Evgenʹevič - 2010
Persistent link: https://www.econbiz.de/10008648194
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Gradient methods for minimizing composite objective function
Nesterov, Jurij Evgenʹevič (contributor) - 2007
Persistent link: https://www.econbiz.de/10003543706