Analyzing Hogwild Parallel Gaussian Gibbs Sampling.
Matthew J. JohnsonJames SaundersonAlan S. WillskyPublished in: NIPS (2013)
Keyphrases
- gibbs sampling
- markov chain
- latent dirichlet allocation
- approximate inference
- topic models
- parameter estimation
- em algorithm
- expectation maximization
- exact inference
- maximum likelihood
- belief networks
- bayesian networks
- markov chain monte carlo
- graphical models
- generative model
- probabilistic inference
- model selection
- gaussian mixture model
- simulated annealing
- least squares
- hidden markov models
- active learning
- data analysis
- machine learning