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Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds.

Alexander NovikovMaxim RakhubaIvan Oseledets
Published in: SIAM J. Sci. Comput. (2022)
Keyphrases
  • low rank matrix
  • riemannian manifolds
  • low rank
  • manifold learning
  • euclidean space
  • high order
  • higher order
  • low dimensional
  • convex optimization
  • tensor field
  • feature extraction
  • vector space
  • tensor decomposition