Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling.
Andrei-Cristian BarbosFrancois CaronJean-François GiovannelliArnaud DoucetPublished in: NIPS (2017)
Keyphrases
- gibbs sampling
- high dimensional
- markov chain monte carlo
- markov chain
- approximate inference
- parameter estimation
- expectation maximization
- em algorithm
- topic models
- latent dirichlet allocation
- maximum likelihood
- belief networks
- gibbs sampler
- posterior distribution
- low dimensional
- dimensionality reduction
- high dimensionality
- gaussian distribution
- belief propagation
- monte carlo
- graphical models
- high dimensional data
- parameter space
- message passing
- gaussian mixture model
- probabilistic inference
- bayesian inference
- exact inference
- probability distribution
- machine learning
- generative model
- data association
- variational methods
- feature space