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The Frank-Wolfe algorithm is a popular method for minimizing a smooth convex function $f$ over a compact convex set $\mathcal{C}$.
An algorithm for quadratic programming
M. Frank and P. Wolfe · 1956
Earlier work this paper cites.
Constrained minimization methods
E. S. Levitin and B. T. Polyak · 1966
Earlier work this paper cites.
A tight upper bound on the rate of convergence of Frank-Wolfe algorithm
M. D. Canon and C. D. Cullum · 1968
Earlier work this paper cites.
An efficient approach to solving the road network equilibrium traffic assignment problem
L. J. LeBlanc, E. K. Morlok, and W. P. Pierskalla · 1975
Earlier work this paper cites.
Conditional gradient algorithms with open loop step size rules
J. C. Dunn and S. Harshbarger · 1978
Earlier work this paper cites.
Some comments on Wolfe’s ‘away step’
J. Guélat and P. Marcotte · 1986
Earlier work this paper cites.
Sparse approximate solutions to semidefinite programs
E. Hazan · 2008
Earlier work this paper cites.
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
K. L. Clarkson · 2010
Earlier work this paper cites.
Proximal splitting methods in signal processing
P. L. Combettes and J.-C. Pesquet · 2011
Cited alongside, same era.
Revisiting Frank-Wolfe: Projection-free sparse convex optimization
M. Jaggi · 2013
Cited alongside, same era.
Block-coordinate Frank-Wolfe optimization for structural SVMs
S. Lacoste-Julien, M. Jaggi, M. Schmidt, and P. Pletscher · 2013
Cited alongside, same era.
The complexity of large-scale convex programming under a linear optimization oracle
G. Lan · 2013
Cited alongside, same era.
Convex Bodies: The Brunn-Minkowski Theory
R. Schneider · 2013
Cited alongside, same era.
Efficient image and video co-localization with Frank-Wolfe algorithm
A. Joulin, K. Tang, and L. Fei-Fei · 2014
Linear-memory and decomposition-invariant linearly convergent conditional gradient algorithm for structured polytopes
D. Garber and O. Meshi · 2016
Later among the works it cites.
Blended conditional gradients: the unconditioning of conditional gradients
G. Braun, S. Pokutta, D. Tu, and S. Wright · 2019
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Sinkhorn barycenters with free support via Frank-Wolfe algorithm
G. Luise, S. Salzo, M. Pontil, and C. Ciliberto · 2019
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Boosting Frank-Wolfe by chasing gradients
C. W. Combettes and S. Pokutta · 2020
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Complexity of linear minimization and projection on some sets
C. W. Combettes and S. Pokutta · 2021
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Two-sided fairness in rankings via Lorenz dominance
V. Do, S. Corbett-Davies, J. Atif, and N. Usunier · 2021
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Cited alongside, same era.
Faster rates for the Frank-Wolfe method over strongly-convex sets
D. Garber and E. Hazan · 2015
Cited alongside, same era.
On the global linear convergence of Frank-Wolfe optimization variants
S. Lacoste-Julien and M. Jaggi · 2015
Cited alongside, same era.
Curiosities and counterexamples in smooth convex optimization
J. Bolte and E. Pauwels
Cited in the paper.
Revisiting the approximate Carathéodory problem via the Frank-Wolfe algorithm
C. W. Combettes and S. Pokutta
Cited in the paper.
Later among the works it cites.
Projection-free optimization on uniformly convex sets
T. Kerdreux, A. d’Aspremont, and S. Pokutta · 2021
Later among the works it cites.