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Frank-Wolfe Beyond 1/t Convergence

Pokutta, Sebastian
arXiv (All) · Papers
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optimization-and-control
We consider smooth convex minimization over compact convex sets, i.e., $\min_{x \in C} f(x)$ with the (vanilla) Frank-Wolfe algorithm. Well-known lower bounds establish a worst-case $Ω(1/t)$ primal-gap barrier in the general smooth convex case, and faster convergence usually requires favorable funct
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