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Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective.
Yuetian Luo
Nicolás Garcia Trillos
Published in:
CoRR (2022)
Keyphrases
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matrix factorization
low rank
nuclear norm
low rank matrix
convex optimization
factorization methods
low rank matrices
stochastic gradient descent
recommender systems
collaborative filtering
singular value decomposition
factorization method
semi supervised
optimization problems
missing data
data matrix