no code implementations • 6 Oct 2023 • Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
Most research has focused on optimization over Euclidean spaces, but given the need to optimize over spaces of probability measures in many machine learning problems, it is of interest to investigate accelerated gradient methods in this context too.
1 code implementation • 31 Jan 2016 • José A. Carrillo, Young-Pil Choi, Claudia Totzeck, Oliver Tse
This work justifies the optimization algorithm in the mean-field sense showing the convergence to the global minimizer for a large class of functions.
Analysis of PDEs
