Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models.
Alexandre Bouchard-CôtéArnaud DoucetAndrew RothPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- bayesian inference
- mixture model
- markov chain monte carlo
- probabilistic model
- gibbs sampler
- variational inference
- generative model
- sampling algorithm
- em algorithm
- gaussian mixture model
- density estimation
- language model
- gibbs sampling
- expectation maximization
- hyperparameters
- bayesian model
- exponential family
- prior information
- hidden variables
- latent variables
- mixture modeling
- model selection
- graphical models
- bayesian networks
- monte carlo
- probability density function
- unsupervised learning
- maximum likelihood
- markov networks
- prior distribution
- automatic model selection
- gaussian mixture
- random sampling
- posterior probability
- conditional probabilities
- conditional random fields
- topic models
- learning algorithm
- information retrieval
- data sets