Low-rank tensor regression for selection of grouped variables.
Yang ChenZiyan LuoLingchen KongPublished in: J. Multivar. Anal. (2024)
Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- matrix factorization
- linear combination
- convex optimization
- low rank matrix
- matrix completion
- rank minimization
- missing data
- semi supervised
- high dimensional data
- singular value decomposition
- matrix decomposition
- higher order
- kernel matrix
- low rank matrices
- robust principal component analysis
- regression model
- singular values
- regularized regression
- minimization problems
- dimensionality reduction
- kernel matrices
- variable selection
- auxiliary information
- tensor factorization
- data sets
- multi task
- machine learning
- recommender systems
- pairwise