Abstract: This paper considers distributed convex optimization problem by extending the classical heavy-ball algorithm into a distributed setting via the technique of gradient tracking. As a novel ...

Abstract: Riemannian optimization is a powerful tool for decision-making in situations where the data and decision space are structured as non-flat spaces due to physical constraints and/or underlying ...

Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States Department of Chemistry, Carnegie Mellon University, 5000 ...