Upper Bound of Bayesian Generalization Error in Stochastic Matrix Factorization.
Naoki HayashiSumio WatanabePublished in: CoRR (2017)
Keyphrases
- generalization error
- matrix factorization
- upper bound
- variational bayesian
- lower bound
- collaborative filtering
- low rank
- sample complexity
- recommender systems
- binary classification
- training error
- factor analysis
- probabilistic matrix factorization
- negative matrix factorization
- worst case
- missing data
- factorization methods
- nonnegative matrix factorization
- sample size
- cross validation
- bayesian analysis
- maximum likelihood
- model selection
- bayesian inference
- optimal solution
- vc dimension
- learning algorithm
- training data
- tensor factorization
- bayesian networks
- pairwise
- active learning
- posterior distribution