26 citations · 55 across the 8 of their papers we have counts for
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Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee
Emanuele Frandi, Ricardo Nanculef, Stefano Lodi +2
Frank-Wolfe (FW) algorithms have been often proposed over the last few years as efficient solvers for a variety of optimization problems arising in the field of Machine Learning. T…
A PARTAN-Accelerated Frank-Wolfe Algorithm for Large-Scale SVM Classification
Emanuele Frandi, Ricardo Nanculef, Johan A. K. Suykens
Frank-Wolfe algorithms have recently regained the attention of the Machine Learning community. Their solid theoretical properties and sparsity guarantees make them a suitable choic…
Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning
Emanuele Frandi, Ricardo Nanculef, Johan Suykens
Frank-Wolfe algorithms for convex minimization have recently gained considerable attention from the Optimization and Machine Learning communities, as their properties make them a s…