Generalization error bounds for kernel matrix completion and extrapolation.
Pere Giménez-FebrerAlba Pagès-ZamoraGeorgios B. GiannakisPublished in: CoRR (2019)
Keyphrases
- matrix completion
- generalization error bounds
- low rank
- incomplete data
- kernel matrix
- decision lists
- kernel function
- generalization error
- kernel methods
- singular values
- matrix factorization
- missing data
- missing values
- collaborative filtering
- rank aggregation
- semi supervised
- support vector
- linear combination
- high dimensional data
- singular value decomposition
- data sets
- learning algorithm
- decision trees
- training data
- feature space
- convex optimization
- em algorithm
- convex relaxation
- input space
- learning tasks