Covariance Matrices for Mean Field Variational Bayes.
Ryan GiordanoTamara BroderickPublished in: CoRR (2014)
Keyphrases
- covariance matrices
- variational bayes
- free energy
- gaussian mixture model
- posterior distribution
- bayesian inference
- em algorithm
- gaussian distribution
- maximum likelihood
- covariance matrix
- hyperparameters
- latent variables
- gaussian mixture
- expectation maximization
- vector space
- parameter estimation
- mixture model
- maximum a posteriori
- upper bound
- distance measure
- fixed point
- belief propagation
- feature vectors
- markov chain monte carlo
- markov random field
- competitive learning
- probabilistic model
- probability distribution
- sample size
- exponential family
- probability density function
- bayesian framework
- generative model
- lower bound
- feature space
- approximate inference
- graphical models
- model selection
- face recognition
- cross validation