Academic Journal

Fast Convergence of Frank-Wolfe Algorithms on Polytopes.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Fast Convergence of Frank-Wolfe Algorithms on Polytopes.
Συγγραφείς: Wirth, Elias1 (AUTHOR) wirth.elias.samuel@gmail.com, Peña, Javier2 (AUTHOR) jfp@andrew.cmu.edu, Pokutta, Sebastian1 (AUTHOR) pokutta@zib.de
Πηγή: Mathematics of Operations Research (INFORMS). May2026, Vol. 51 Issue 2, p1463-1485. 23p.
Θεματικοί όροι: *Mathematical analysis, Polytopes, Optimization algorithms, Affine transformations, Curvature
Περίληψη: We provide a template to derive affine-invariant convergence rates for the following popular versions of the Frank-Wolfe algorithm on polytopes: vanilla Frank-Wolfe, Frank-Wolfe with away steps, Frank-Wolfe with blended pairwise steps, and Frank-Wolfe with in-face directions. Our template shows how the convergence rates follow from two affine-invariant properties of the problem, namely, error bound and extended curvature. These properties depend solely on the polytope and objective function but not on any affine-dependent object like norms. For each one of the above algorithms, we derive rates of convergence ranging from sublinear to linear depending on the degree of the error bound. Funding: Research reported in this paper was partially supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy—The Berlin Mathematics Research Center MATH (EXC-2046/1, project ID 390685689, BMS Stipend). Research reported in this paper was also partially supported by the Bajaj Family Chair at the Tepper School of Business, Carnegie Mellon University. [ABSTRACT FROM AUTHOR]
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Περιγραφή
ISSN:0364765X
DOI:10.1287/moor.2024.0580