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Complexity of Normalized Stochastic First-Order Methods with Momentum Under Heavy-Tailed Noise.

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Title: Complexity of Normalized Stochastic First-Order Methods with Momentum Under Heavy-Tailed Noise.
Authors: He, Chuan1 (AUTHOR) chuan.he@liu.se, Lu, Zhaosong2 (AUTHOR) zhaosong@umn.edu, Sun, Defeng3 (AUTHOR) defeng.sun@polyu.edu.hk, Deng, Zhanwang4 (AUTHOR) dzw_opt2022@stu.pku.edu.cn
Source: Mathematics of Operations Research (INFORMS). Aug2026, p1. 39p.
Database: Business Source Ultimate
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An: 195860589
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  Data: Complexity of Normalized Stochastic First-Order Methods with Momentum Under Heavy-Tailed Noise.
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  Data: <searchLink fieldCode="JN" term="%22Mathematics+of+Operations+Research+%28INFORMS%29%22">Mathematics of Operations Research (INFORMS)</searchLink>. Aug2026, p1. 39p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195860589
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1287/moor.2025.1081
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      – Code: eng
        Text: English
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        PageCount: 39
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      – TitleFull: Complexity of Normalized Stochastic First-Order Methods with Momentum Under Heavy-Tailed Noise.
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            NameFull: He, Chuan
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            NameFull: Lu, Zhaosong
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            NameFull: Sun, Defeng
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            – D: 04
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              Text: Aug2026
              Type: published
              Y: 2026
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            – TitleFull: Mathematics of Operations Research (INFORMS)
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