71 citations · 201 across the 24 of their papers we have counts for
Showing 2023 · math.OCShow all
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math.OC2023
A Dynamical Systems Perspective on Discrete Optimization
Tong Guanchun, Michael Muehlebach
We discuss a dynamical systems perspective on discrete optimization. Departing from the fact that many combinatorial optimization problems can be reformulated as finding low energy…
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…
math.OC2023
Accelerated First-Order Optimization under Nonlinear Constraints
Michael Muehlebach, Michael I. Jordan
We exploit analogies between first-order algorithms for constrained optimization and non-smooth dynamical systems to design a new class of accelerated first-order algorithms for co…