Iso-Riemannian Optimization on Learned Data Manifolds

Willem Diepeveen, Melanie Weber

We develop a theory of iso-Riemannian optimization for problems constrained to learned data manifolds, a setting in which classical Riemannian optimization - and Riemannian gradien…