Momentum Improves Optimization on Riemannian Manifolds

Foivos Alimisis, Antonio Orvieto, Gary Bécigneul +1

We develop a new Riemannian descent algorithm that relies on momentum to improve over existing first-order methods for geodesically convex optimization. In contrast, accelerated co…