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Material Type: Artigo
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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methodsAttouch, Hedy ; Bolte, Jérôme ; Svaiter, Benar FuxMathematical programming, 2013-02, Vol.137 (1-2), p.91-129 [Periódico revisado por pares]Berlin/Heidelberg: Springer-VerlagTexto completo disponível |
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2 |
Material Type: Artigo
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Gradient methods for minimizing composite functionsNesterov, YuMathematical programming, 2013-08, Vol.140 (1), p.125-161 [Periódico revisado por pares]Berlin/Heidelberg: Springer-VerlagTexto completo disponível |
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3 |
Material Type: Artigo
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Parallel coordinate descent methods for big data optimizationRichtarik, Peter ; TakaAe, MartinMathematical programming, 2016-03, Vol.156 (1-2), p.433-484 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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4 |
Material Type: Artigo
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Data-driven robust optimizationBertsimas, Dimitris ; Gupta, Vishal ; Kallus, NathanMathematical programming, 2018-02, Vol.167 (2), p.235-292 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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Material Type: Artigo
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COCO: a platform for comparing continuous optimizers in a black-box settingHansen, Nikolaus ; Auger, Anne ; Ros, Raymond ; Mersmann, Olaf ; Tušar, Tea ; Brockhoff, DimoOptimization methods & software, 2021-01, Vol.36 (1), p.114-144 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Theory and Applications of Robust OptimizationBertsimas, Dimitris ; Brown, David B. ; Caramanis, ConstantineSIAM review, 2011-01, Vol.53 (3), p.464-501 [Periódico revisado por pares]Philadelphia, PA: Society for Industrial and Applied MathematicsTexto completo disponível |
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7 |
Material Type: Artigo
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Weakly-convex-concave min-max optimization: provable algorithms and applications in machine learningRafique, Hassan ; Liu, Mingrui ; Lin, Qihang ; Yang, TianbaoOptimization methods & software, 2022-05, Vol.37 (3), p.1087-1121 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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8 |
Material Type: Artigo
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Robust sample average approximationBertsimas, Dimitris ; Gupta, Vishal ; Kallus, NathanMathematical programming, 2018-09, Vol.171 (1-2), p.217-282 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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9 |
Material Type: Artigo
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Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functionsWang, Mengdi ; Fang, Ethan X. ; Liu, HanMathematical programming, 2017, Vol.161 (1-2), p.419-449 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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10 |
Material Type: Artigo
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Minimizing finite sums with the stochastic average gradientSchmidt, Mark ; Le Roux, Nicolas ; Bach, FrancisMathematical programming, 2017-03, Vol.162 (1-2), p.83-112 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |