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Trimmed statistical estimation via variance reduction
Aravkin, Aleksandr; Davis, Damek - In: Mathematics of operations research 45 (2020) 1, pp. 292-322
Persistent link: https://www.econbiz.de/10012183043
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Recursive importance sketching for rank constrained least squares : algorithms and high-order convergence
Luo, Yuetian; Huang, Wen; Li, Xudong; Zhang, Anru - In: Operations research 72 (2024) 1, pp. 237-256
Persistent link: https://www.econbiz.de/10014505097
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Global convergence of stochastic gradient hamiltonian monte carlo for nonconvex stochastic optimization : nonasymptotic performance bounds and momentum-based acceleration
Gao, Xuefeng; Gürbüzbalaban, Mert; Zhu, Lingjiong - In: Operations research 70 (2022) 5, pp. 2931-2947
Persistent link: https://www.econbiz.de/10014307142
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Kernel-based online regression with canal loss
Liang, Xijun; Zhang, Zhipeng; Song, Yunquan; Jian, Ling - In: European journal of operational research : EJOR 297 (2022) 1, pp. 268-279
Persistent link: https://www.econbiz.de/10013259285
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A subsampling line-search method with second-order results
Bergou, El Houcine; Diouane, Youssef; Kunc, Vladimir; … - In: INFORMS journal on optimization 4 (2022) 4, pp. 403-425
Persistent link: https://www.econbiz.de/10013503752
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Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression
Li, Xin; Wu, Dongya - In: European journal of operational research : EJOR 323 (2025) 2, pp. 626-641
Persistent link: https://www.econbiz.de/10015416985