Mean–semideviation–based distributionally robust learning with weakly convex losses: convergence rates and finite-sample guarantees.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 00255610 |
|---|---|
| DOI: | 10.1007/s10107-025-02218-z |