Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification.
The Tien MaiPublished in: CoRR (2021)
Keyphrases
- matrix completion
- estimation accuracy
- low rank
- missing data
- linear combination
- convex optimization
- matrix factorization
- rank minimization
- low rank matrix
- semi supervised
- singular value decomposition
- norm minimization
- prediction accuracy
- kernel matrix
- high dimensional data
- low rank matrices
- estimation error
- trace norm
- singular values
- collaborative filtering
- bayesian networks
- high order
- least squares
- pairwise
- machine learning
- minimization problems
- nuclear norm