most citedOrthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

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…