Search Results - "SIAM journal on optimization" :: K.UTB vyhledávací portál

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Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming

by Ghadimi, Saeed, Lan, Guanghui
Published in SIAM journal on optimization (01.01.2013)

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A Proximal Stochastic Gradient Method with Progressive Variance Reduction

by Xiao, Lin, Zhang, Tong
Published in SIAM journal on optimization (01.01.2014)

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A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

by Razaviyayn, Meisam, Hong, Mingyi, Luo, Zhi-Quan
Published in SIAM journal on optimization (01.01.2013)

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Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

by Nesterov, Yu
Published in SIAM journal on optimization (01.01.2012)

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NOISY MATRIX COMPLETION: UNDERSTANDING STATISTICAL GUARANTEES FOR CONVEX RELAXATION VIA NONCONVEX OPTIMIZATION

by Chen, Yuxin, Chi, Yuejie, Fan, Jianqing, Ma, Cong, Yan, Yuling
Published in SIAM journal on optimization (2020)

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A Singular Value Thresholding Algorithm for Matrix Completion

by Cai, Jian-Feng, Candès, Emmanuel J., Shen, Zuowei
Published in SIAM journal on optimization (01.01.2010)

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On the Convergence of Block Coordinate Descent Type Methods

by Beck, Amir, Tetruashvili, Luba
Published in SIAM journal on optimization (01.01.2013)

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Rank-Sparsity Incoherence for Matrix Decomposition

by Chandrasekaran, Venkat, Sanghavi, Sujay, Parrilo, Pablo A., Willsky, Alan S.
Published in SIAM journal on optimization (01.04.2011)

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Low-Rank Matrix Completion by Riemannian Optimization

by Vandereycken, Bart
Published in SIAM journal on optimization (01.01.2013)

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Proximal Newton-Type Methods for Minimizing Composite Functions

by Lee, Jason D., Sun, Yuekai, Saunders, Michael A.
Published in SIAM journal on optimization (01.01.2014)

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Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms

by Beck, Amir, Eldar, Yonina C.
Published in SIAM journal on optimization (01.01.2013)

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Optimal Primal-Dual Methods for a Class of Saddle Point Problems

by Chen, Yunmei, Lan, Guanghui, Ouyang, Yuyuan
Published in SIAM journal on optimization (01.01.2014)

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Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-$(L_r,L_r,1)$ Terms, and a New Generalization

by Sorber, Laurent, Van Barel, Marc, De Lathauwer, Lieven
Published in SIAM journal on optimization (01.01.2013)

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Robust Stochastic Approximation Approach to Stochastic Programming

by Nemirovski, A., Juditsky, A., Lan, G., Shapiro, A.
Published in SIAM journal on optimization (01.01.2009)

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Projection-like Retractions on Matrix Manifolds

by Absil, P.-A., Malick, Jérôme
Published in SIAM journal on optimization (01.01.2012)

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A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search

by Dai, Yu-Hong, Kou, Cai-Xia
Published in SIAM journal on optimization (01.01.2013)

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Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework

by Ghadimi, Saeed, Lan, Guanghui
Published in SIAM journal on optimization (01.01.2012)

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Randomized Smoothing for Stochastic Optimization

by Duchi, John C., Bartlett, Peter L., Wainwright, Martin J.
Published in SIAM journal on optimization (01.01.2012)

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ANOTHER LOOK AT THE FAST ITERATIVE SHRINKAGE/THRESHOLDING ALGORITHM (FISTA)

by Kim, Donghwan, Fessler, Jeffrey A
Published in SIAM journal on optimization (2018)

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Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms

by Ghadimi, Saeed, Lan, Guanghui
Published in SIAM journal on optimization (01.01.2013)

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