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The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems.

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Title: The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems.
Authors: Balseiro, Santiago R.1,2 (AUTHOR) srb2155@columbia.edu, Lu, Haihao3 (AUTHOR) haihao.lu@chicagobooth.edu, Mirrokni, Vahab1 (AUTHOR) mirrokni@google.com
Source: Operations Research. Jan/Feb2023, Vol. 71 Issue 1, p101-119. 19p.
Database: Business Source Ultimate
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  Data: The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems.
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      – Type: doi
        Value: 10.1287/opre.2021.2242
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      – Code: eng
        Text: English
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        StartPage: 101
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      – TitleFull: The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems.
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              Text: Jan/Feb2023
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