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Mean–semideviation–based distributionally robust learning with weakly convex losses: convergence rates and finite-sample guarantees.

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Title: Mean–semideviation–based distributionally robust learning with weakly convex losses: convergence rates and finite-sample guarantees.
Authors: Zhu, Landi1, lz401@scarletmail.rutgers.edu, Gürbüzbalaban, Mert1, mg1366@rutgers.edu, Ruszczyński, Andrzej1, rusz@rutgers.edu
Source: Mathematical Programming; Jan2026, Vol. 215 Issue 1/2, p237-267, 31p
Database: Applied Science & Technology Source
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      – Type: doi
        Value: 10.1007/s10107-025-02218-z
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      – Code: eng
        Text: English
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      – TitleFull: Mean–semideviation–based distributionally robust learning with weakly convex losses: convergence rates and finite-sample guarantees.
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              Text: Jan2026
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              Y: 2026
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