Near Optimal Sketching of Low-Rank Tensor Regression.
Jarvis D. HauptXingguo LiDavid P. WoodruffPublished in: CoRR (2017)
Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- missing data
- matrix factorization
- convex optimization
- linear combination
- low rank matrix
- matrix completion
- rank minimization
- regression model
- high dimensional data
- kernel matrix
- singular value decomposition
- higher order
- semi supervised
- matrix decomposition
- tensor factorization
- robust principal component analysis
- data matrix
- regularized regression
- low rank matrices
- kernel matrices
- data sets
- support vector
- non rigid structure from motion
- minimization problems
- low rank approximation
- reproducing kernel hilbert space
- singular values
- diffusion tensor
- negative matrix factorization
- collaborative filtering
- active learning
- pairwise