Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence.
Beyza ErmisYusuf Kenan YilmazAli Taylan CemgilEvrim AcarPublished in: CoRR (2014)
Keyphrases
- kl divergence
- posterior distribution
- latent variables
- exponential family
- probabilistic model
- information theoretic
- posterior probability
- kullback leibler divergence
- generative model
- graphical models
- mahalanobis distance
- probabilistic latent semantic analysis
- statistical models
- probability distribution
- gaussian distribution
- mixture model
- topic models
- closed form
- log likelihood
- density estimation
- parameter estimation
- information theory
- gaussian mixture
- mutual information
- missing values
- bayesian networks
- maximum likelihood
- markov chain monte carlo
- bayesian inference
- variational methods
- latent dirichlet allocation
- conditional probabilities
- order statistics
- bayesian framework
- prior knowledge
- approximate inference
- probability density function
- language model
- co occurrence
- hidden variables
- maximum a posteriori
- random variables