Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
–Neural Information Processing Systems
We study optimization of finite sums of \emph{geodesically} smooth functions on Riemannian manifolds. Although variance reduction techniques for optimizing finite-sums have witnessed tremendous attention in the recent years, existing work is limited to vector space problems. We introduce \emph{Riemannian SVRG} (\rsvrg), a new variance reduced Riemannian optimization method.
Neural Information Processing Systems
Mar-17-2026, 10:01:50 GMT
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