Learning to Optimize on Riemannian Manifolds
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DOI: 10.1109/tpami.2022.3215702
Abstract: Many learning tasks are modeled as optimization problems with nonlinear constraints, such as principal component analysis and fitting a Gaussian mixture model. A popular way to solve such problems is resorting to Riemannian optimization algorithms,… read more here.
Keywords: training scheme; analysis; riemannian manifolds; learning optimize ... See more keywords