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The cost of nonconvexity in deterministic nonsmooth optimization
Kong, Siyu; Lewis, Adrian S. - In: Mathematics of operations research 49 (2024) 4, pp. 2385-2401
Persistent link: https://www.econbiz.de/10015197933
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Minimizing piecewise-concave functions over polyhedra
Gaudioso, Manlio; Giallombardo, Giovanni; Miglionico, … - In: Mathematics of operations research 43 (2018) 2, pp. 580-597
Persistent link: https://www.econbiz.de/10011868619
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Proximal gradient methods with adaptive subspace sampling
Grishchenko, Dmitry; Iutzeler, Franck; Malick, Jérôme - In: Mathematics of operations research 46 (2021) 4, pp. 1303-1323
Persistent link: https://www.econbiz.de/10012796642
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Stochastic subgradient descent escapes active strict saddles on weakly convex functions
Bianchi, Pascal; Hachem, Walid; Schechtman, Sholom - In: Mathematics of operations research 49 (2024) 3, pp. 1761-1790
Persistent link: https://www.econbiz.de/10015047790
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A generalized Newton method for subgradient systems
Pham Duy Khanh; Morduchovič, Boris S.; Vo Thanh Phat - In: Mathematics of operations research 48 (2023) 4, pp. 1811-1845
Persistent link: https://www.econbiz.de/10014437724
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Conic optimization with spectral functions on Euclidean Jordan algebras
Coey, Chris; Kapelevich, Lea; Vielma, Juan Pablo - In: Mathematics of operations research 48 (2023) 4, pp. 1906-1933
Persistent link: https://www.econbiz.de/10014437744
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An accelerated Newton-Dinkelbach method and its application to two variables per inequality systems
Dadush, Daniel; Koh, Zhuan Khye; Natura, Bento; Végh, … - In: Mathematics of operations research 48 (2023) 4, pp. 1934-1958
Persistent link: https://www.econbiz.de/10014437759
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On the efficient implementation of the matrix exponentiated gradient algorithm for low-rank matrix optimization
Garber, Dan; Kaplan, Atara - In: Mathematics of operations research 48 (2023) 4, pp. 2094-2128
Persistent link: https://www.econbiz.de/10014437817
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A general framework for bandit problems beyond cumulative objectives
Cassel, Asaf; Mannor, Shie; Zeevi, Assaf - In: Mathematics of operations research 48 (2023) 4, pp. 2196-2232
Persistent link: https://www.econbiz.de/10014437823
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Polynomial upper bounds on the number of differing columns of Δ-modular integer programs
Lee, Jon; Paat, Joseph; Stallknecht, Ingo; Xu, Luze - In: Mathematics of operations research 48 (2023) 4, pp. 2267-2286
Persistent link: https://www.econbiz.de/10014437826