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An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems. [PDF]
Boţ RI, Csetnek ER, Nimana N.
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On the Convergence Analysis of the Optimized Gradient Method. [PDF]
Kim D, Fessler JA.
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A new Newton-like method for solving nonlinear equations. [PDF]
Saheya B, Chen GQ, Sui YK, Wu CY.
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Stochastic Optimization With Decision-Dependent Distributions
Mathematics of Operations Research, 2023Dmitriy Drusvyatskiy, Lin Xiao
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Distributionally Robust Chance Constrained Geometric Optimization
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Mixed-Integer Convex Representability
Mathematics of Operations Research, 2022Juan Pablo Vielma +2 more
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A Convex Form That Is Not a Sum of Squares
Mathematics of Operations Research, 2023James Saunderson
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An Optimal High-Order Tensor Method for Convex Optimization
Mathematics of Operations Research, 2021Shuzhong Zhang, Bo Jiang, Haoyue Wang
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Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems
Mathematics of Operations Research, 2023Alexandre d'Aspremont
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Convergence Analysis of Accelerated Stochastic Gradient Descent Under the Growth Condition
Mathematics of Operations Research, 2023Mladen Kolar, Sen Na
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