Practical collapsed variational bayes inference for hierarchical dirichlet process.
Issei SatoKenichi KuriharaHiroshi NakagawaPublished in: KDD (2012)
Keyphrases
- variational bayes
- hierarchical dirichlet process
- bayesian inference
- latent variables
- hyperparameters
- gaussian mixture model
- bayesian learning
- latent dirichlet allocation
- free energy
- posterior distribution
- exponential family
- prior information
- variational inference
- closed form
- expectation maximization
- prior knowledge
- cross validation
- model selection
- maximum likelihood
- machine learning
- gaussian process
- log likelihood
- probabilistic model
- sample size
- markov chain monte carlo
- mixture model
- exact inference
- unsupervised learning
- em algorithm
- hidden markov models