10 citations · 19 across the 11 of their papers we have counts for
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math.OC2023
SignSVRG: fixing SignSGD via variance reduction
Evgenii Chzhen, Sholom Schechtman
We consider the problem of unconstrained minimization of finite sums of functions. We propose a simple, yet, practical way to incorporate variance reduction techniques into SignSGD…
math.OC2023★ 1 cited
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach +1
We consider the problem of minimizing a non-convex function over a smooth manifold . We propose a novel algorithm, the Orthogonal Directions Constrained Gradient Metho…