2024
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
ICML 2024spotlight
In recent years, interest in gradient-based optimization over Riemannian manifolds has surged. However, a significant challenge lies in the reliance on hyperparameters, especially the learning rate, which requires meticulous tuning by practitioners to ensure convergence at a suitable rate. In this w…