On High-dimensional and Low-rank Tensor Bandits.
Chengshuai ShiCong ShenNicholas D. SidiropoulosPublished in: ISIT (2023)
Keyphrases
- low rank
- high dimensional
- trace norm
- high dimensional data
- high order
- frobenius norm
- tensor decomposition
- dimensionality reduction
- singular value decomposition
- low dimensional
- linear combination
- missing data
- matrix completion
- low rank matrix
- similarity search
- high dimensionality
- kernel matrix
- rank minimization
- matrix factorization
- semi supervised
- convex optimization
- nearest neighbor
- higher order
- data points
- feature space
- input space
- minimization problems
- singular values
- low rank matrices
- matrix decomposition
- data matrix
- robust principal component analysis
- manifold learning
- missing values
- pairwise
- multi task
- sparse coding
- tensor factorization
- image restoration
- image classification
- principal component analysis
- small number
- data analysis
- feature extraction
- image segmentation
- data sets