Hiroyuki Sakai

Convergence of Riemannian Stochastic Gradient Descent on Hadamard Manifold

2023 · arXiv (Cornell University)

Novel convergence analyses are presented of Riemannian stochastic gradient descent (RSGD) on a Hadamard manifold. RSGD is the most basic Riemannian stochastic optimization algorithm and is used in many applications in the field of machine …