Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning.

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Title: Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning.
Authors: Rafique, Hassan1,2, Liu, Mingrui3, Lin, Qihang4, qihang-lin@uiowa.edu, Yang, Tianbao3
Source: Optimization Methods & Software; Jun2022, Vol. 37 Issue 3, p1087-1121, 35p
Database: Applied Science & Technology Source
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  Data: Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10556788.2021.1895152
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      – Code: eng
        Text: English
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        PageCount: 35
        StartPage: 1087
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      – TitleFull: Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning.
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            NameFull: Rafique, Hassan
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            NameFull: Liu, Mingrui
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            NameFull: Lin, Qihang
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            NameFull: Yang, Tianbao
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            – D: 01
              M: 06
              Text: Jun2022
              Type: published
              Y: 2022
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              Value: 37
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