A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization.
Qinglei CaoRabab AlomairyYu PeiGeorge BosilcaHatem LtaiefDavid E. KeyesJack J. DongarraPublished in: IPDPS (2022)
Keyphrases
- low rank
- matrix factorization
- data sparsity
- kernel matrix
- linear combination
- singular value decomposition
- collaborative filtering
- missing data
- recommender systems
- low rank matrix
- factorization methods
- nonnegative matrix factorization
- convex optimization
- trace norm
- matrix decomposition
- matrix completion
- robust principal component analysis
- high order
- rank minimization
- tensor factorization
- data matrix
- singular values
- negative matrix factorization
- semi supervised learning
- semi supervised