Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees.
Ruqi ZhangChristopher De SaPublished in: NeurIPS (2019)
Keyphrases
- convergence rate
- gibbs sampling
- markov chain
- topic models
- em algorithm
- latent dirichlet allocation
- parameter estimation
- approximate inference
- expectation maximization
- belief networks
- exact inference
- markov chain monte carlo
- graphical models
- maximum likelihood
- closed form
- generative model
- probability distribution
- monte carlo
- probabilistic inference
- latent variables
- support vector
- np hard