Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings.
Antoine LedentRodrigo AlvesYunwen LeiYann GuermeurMarius KloftPublished in: AAAI (2023)
Keyphrases
- generalization bounds
- matrix completion
- data dependent
- learning theory
- low rank
- missing data
- generalization ability
- model selection
- vc dimension
- ranking algorithm
- linear classifiers
- learning problems
- inductive inference
- collaborative filtering
- machine learning
- matrix factorization
- missing values
- kernel methods
- hyperplane
- singular value decomposition
- em algorithm
- worst case
- support vector machine
- training data