Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences.
Bence BolgárPeter AntalPublished in: Probabilistic Graphical Models (2016)
Keyphrases
- missing data
- matrix factorization
- gaussian process
- gaussian processes
- bayesian framework
- hyperparameters
- posterior distribution
- incomplete data
- low rank
- variational inference
- missing values
- regression model
- dirichlet process
- expectation propagation
- approximate inference
- nonnegative matrix factorization
- bayesian methods
- prior information
- latent variables
- model selection
- structure from motion
- negative matrix factorization
- bayesian inference
- prior knowledge
- semi supervised
- bayesian model
- generative model
- maximum a posteriori
- bayesian networks
- maximum likelihood
- data sets
- low rank matrix
- data matrix
- markov chain monte carlo
- clustering algorithm