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Differential Geometry with Applications to Low-Rank Matrix Completion Evgenii Marshakov |
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Abstract: We will tell a few words about Riemannian optimization for low-rank matrix completion problem, more precisely, about algorithm that minimizes the least-square distance on the sampling set over fixed-rank matrices manifold. During the talk we will discuss in detail differential geometry that appears in proposed algorithm. |