Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference.
Guangyong ChenFengyuan ZhuPheng-Ann HengPublished in: ACM Trans. Knowl. Discov. Data (2018)
Keyphrases
- variational inference
- bayesian inference
- variational bayesian
- posterior distribution
- probabilistic matrix factorization
- topic models
- probabilistic model
- probabilistic graphical models
- gaussian process
- closed form
- mixture model
- latent dirichlet allocation
- variational methods
- matrix factorization
- collaborative filtering
- bayesian networks
- exact inference
- distributed systems
- latent variables
- exponential family
- probability distribution
- posterior probability
- prior information
- hyperparameters
- bayesian model
- graphical models
- parameter estimation
- markov networks
- approximate inference
- hidden variables
- particle filter
- probabilistic inference
- random variables
- factor graphs
- maximum likelihood
- dirichlet process
- generative model