Markov Chain Monte Carlo inference for probabilistic latent tensor factorization.
Umut SimsekliA. Taylan CemgilPublished in: MLSP (2012)
Keyphrases
- markov chain monte carlo
- generative model
- tensor factorization
- posterior probability
- posterior distribution
- probabilistic model
- latent variables
- markov chain
- bayesian inference
- bayesian networks
- monte carlo
- parameter estimation
- matrix factorization
- bayesian framework
- approximate inference
- collaborative filtering
- negative matrix factorization
- mixture model
- particle filter
- gaussian processes
- probability density function
- probability distribution
- conditional probabilities
- em algorithm
- particle filtering
- conditional random fields
- graphical models
- prior knowledge
- probabilistic latent semantic analysis
- data association
- state space
- probabilistic inference
- topic models