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检索条件"主题词=Zeroth-order algorithms"
3 条 记 录,以下是1-10 订阅
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zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities
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JOURNAL OF GLOBAL OPTIMIZATION 2023年 第2-4期87卷 709-740页
作者: Wang, Zhongruo Balasubramanian, Krishnakumar Ma, Shiqian Razaviyayn, Meisam Univ Calif Davis Dept Math Davis CA 95616 USA Univ Calif Davis Dept Stat Davis CA USA Univ Southern Calif Dept Ind & Syst Engn Los Angeles CA USA
In this paper, we study zeroth-order algorithms for minimax optimization problems that are nonconvex in one variable and strongly-concave in the other variable. Such minimax optimization problems have attracted signif... 详细信息
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Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants
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SIAM REVIEW 2024年 第2期66卷 319-352页
作者: Chen, Shixiang Ma, Shiqian So, Anthony Man-Cho Zhang, Tong Univ Sci & Technol China Sch Math Sci Hefei Anhui Peoples R China Rice Univ Dept Computat Appl Math & Operat Res Houston TX 77005 USA Chinese Univ Hong Kong Dept Syst Engn & Engn Management Shatin Hong Kong Peoples R China Hong Kong Univ Sci & Technol Clear Water Bay Hong Kong Peoples R China
We consider optimization problems over the Stiefel manifold whose objective function is the summation of a smooth function and a nonsmooth function. Existing methods for solving this class of problems converge slowly ... 详细信息
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IMPROVED STEP-SIZE SCHEDULES FOR NOISY GRADIENT METHODS
IMPROVED STEP-SIZE SCHEDULES FOR NOISY GRADIENT METHODS
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Khirirat, Sarit Wang, Xiaoyu Magnusson, Sindri Johansson, Mikael KTH Royal Inst Technol Stockholm Sweden Stockholm Univ Stockholm Sweden
Noise is inherited in many optimization methods such as stochastic gradient methods, zeroth-order methods and compressed gradient methods. For such methods to converge toward a global optimum, it is intuitive to use l... 详细信息
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