Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems.
Dan GarberAtara KaplanPublished in: AISTATS (2019)
Keyphrases
- low rank
- matrix completion
- minimization problems
- convex optimization
- factorization methods
- matrix factorization
- linear combination
- low rank matrix
- singular value decomposition
- rank minimization
- missing data
- high order
- eigendecomposition
- high dimensional data
- trace norm
- semi supervised
- matrix decomposition
- small number
- machine learning
- low rank approximation
- interior point
- kernel matrices
- kernel matrix
- incomplete data
- frobenius norm
- regularized regression