On High-dimensional and Low-rank Tensor Bandits.
Chengshuai ShiCong ShenNicholas D. SidiropoulosPublished in: CoRR (2023)
Keyphrases
- low rank
- high dimensional
- high dimensional data
- trace norm
- high order
- frobenius norm
- tensor decomposition
- dimensionality reduction
- low dimensional
- matrix completion
- singular value decomposition
- convex optimization
- missing data
- low rank matrix
- high dimensionality
- linear combination
- similarity search
- kernel matrix
- semi supervised
- matrix decomposition
- matrix factorization
- rank minimization
- data points
- feature space
- input space
- higher order
- missing values
- nearest neighbor
- low rank matrices
- low rank approximation
- multi task
- sparse coding
- minimization problems
- sparse representation
- data matrix
- tensor factorization
- norm minimization
- gene expression data
- image restoration
- pattern recognition
- face recognition
- image processing
- learning algorithm