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arXiv · 2106.10261

Frank-Wolfe and friends: a journey into projection-free first-order optimization methods

Immanuel. M. Bomze·Francesco Rinaldi·Damiano Zeffiro
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Abstract

Invented some 65 years ago in a seminal paper by Marguerite Straus-Frank and Philip Wolfe, the Frank-Wolfe method recently enjoys a remarkable revival, fuelled by the need of fast and reliable first-order optimization methods in Data Science and other relevant application areas. This review tries to explain the success of this approach by illustrating versatility and applicability in a wide range of contexts, combined with an account on recent progress in variants, both improving on the speed and efficiency of this surprisingly simple principle of first-order optimization.

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Immanuel. M. Bomze, Francesco Rinaldi, Damiano Zeffiro. 2021-06-18. Frank-Wolfe and friends: a journey into projection-free first-order optimization methods. https://arxiv.org/abs/2106.10261

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