87 citations · 373 across the 33 of their papers we have counts for
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math.OC2020★ 1 cited
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
Dan Garber, Atara Kaplan
Convex optimization over the spectrahedron, i.e., the set of all real positive semidefinite matrices with unit trace, has important applications in machine learning, si…
math.OC2020★ 4 cited
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity
Dan Garber
In recent years it was proved that simple modifications of the classical Frank-Wolfe algorithm (aka conditional gradient algorithm) for smooth convex minimization over convex and c…