3 papers
math.OC2022
Faster Asynchronous Nonconvex Block Coordinate Descent with Locally Chosen Stepsizes
Matthew Ubl, Matthew T. Hale
Distributed nonconvex optimization problems underlie many applications in learning and autonomy, and such problems commonly face asynchrony in agents' computations and communicatio…
math.OC2020
Totally Asynchronous Large-Scale Quadratic Programming: Regularization, Convergence Rates, and Parameter Selection
Matthew Ubl, Matthew T. Hale
Quadratic programs arise in robotics, communications, smart grids, and many other applications. As these problems grow in size, finding solutions becomes more computationally deman…
math.OC2019
Totally Asynchronous Distributed Quadratic Programming with Independent Stepsizes and Regularizations
Matthew Ubl, Matthew Hale
Quadratic programs arise in robotics, communications, smart grids, and many other applications. As these problems grow in size, finding solutions becomes much more computationally…