Near Optimal Sketching of Low-Rank Tensor Regression.
Xingguo LiJarvis D. HauptDavid P. WoodruffPublished in: NIPS (2017)
Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- matrix completion
- matrix factorization
- convex optimization
- missing data
- low rank matrix
- linear combination
- regression model
- semi supervised
- kernel matrix
- higher order
- high dimensional data
- singular value decomposition
- data matrix
- reproducing kernel hilbert space
- rank minimization
- pairwise
- matrix decomposition
- robust principal component analysis
- minimization problems
- model selection
- regularized regression
- dimensionality reduction
- low rank matrices
- multi task
- tensor factorization
- kernel matrices
- singular values
- data mining
- markov random field
- feature extraction