Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably.
Dohyung ParkAnastasios KyrillidisConstantine CaramanisSujay SanghaviPublished in: SIAM J. Imaging Sci. (2018)
Keyphrases
- low rank
- matrix factorization
- convex optimization
- robust principal component analysis
- low rank matrices
- collaborative filtering
- low rank matrix
- recommender systems
- missing data
- factorization methods
- rank minimization
- matrix completion
- negative matrix factorization
- nonnegative matrix factorization
- low rank and sparse
- linear combination
- data matrix
- semi supervised
- stochastic gradient descent
- singular values
- trace norm
- latent factors
- data sets
- least squares
- factorization method
- image classification
- high dimensional data
- singular value decomposition
- missing values
- high order