Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization.
Naoki HayashiSumio WatanabePublished in: SN Comput. Sci. (2020)
Keyphrases
- matrix factorization
- generalization error
- latent dirichlet allocation
- topic models
- variational inference
- latent factors
- collaborative filtering
- model selection
- topic modeling
- upper bound
- cross validation
- learning algorithm
- training data
- generative model
- active learning
- training set
- missing data
- supervised learning
- recommender systems
- text mining
- sample size
- nonnegative matrix factorization
- bayesian networks
- probabilistic latent semantic analysis
- posterior distribution
- negative matrix factorization
- bayesian inference
- latent topics
- factor analysis
- latent variables
- worst case
- maximum likelihood
- dimensionality reduction
- feature space
- bayesian framework
- data sets
- feature extraction
- bayesian analysis