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Bandits with global convex constraints and objective
Agrawal, Shipra; Devanur, Nikhil - In: Operations research 67 (2019) 5, pp. 1486-1502
Persistent link: https://www.econbiz.de/10012107797
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Weak stability of ℓ1-minimization methods in sparse data reconstruction
Zhao, Yun-Bin; Jiang, Houyuan; Luo, Zhi-Quan - In: Mathematics of operations research 44 (2019) 1, pp. 173-195
Persistent link: https://www.econbiz.de/10012001082
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Convex grey optimization
Tilahun, Surafel Luleseged - In: RAIRO / Operations research 53 (2019) 1, pp. 339-349
Persistent link: https://www.econbiz.de/10012113652
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Chebyshev inequalities for products of random variables
Rujeerapaiboon, Napat; Kuhn, Daniel; Wiesemann, Wolfram - In: Mathematics of operations research 43 (2018) 3, pp. 887-918
Persistent link: https://www.econbiz.de/10011914382
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Exact worst-case performance of first-order methods for composite convex optimization
Taylor, Adrien B.; Hendrickx, Julien M.; Glineur, François - 2016
Persistent link: https://www.econbiz.de/10011894461
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Convex optimization for group feature selection in networked data
Won, Daehan; Manzour, Hasan; Chaovalitwongse, Wanpracha - In: INFORMS journal on computing : JOC 32 (2020) 1, pp. 182-198
Persistent link: https://www.econbiz.de/10012183006
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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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Gradient methods with memory
Nesterov, Jurij Evgenʹevič; Florea, Mihai I. - 2019
Persistent link: https://www.econbiz.de/10012215158
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Inexact basic tensor methods
Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215160
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Contracting proximal methods for smooth convex optimization
Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2019
Persistent link: https://www.econbiz.de/10012215198