Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.
Jiong ZhangParameswaran RamanShihao JiHsiang-Fu YuS. V. N. VishwanathanInderjit S. DhillonPublished in: AISTATS (2019)
Keyphrases
- variational inference
- mixture model
- bayesian inference
- bayesian nonparametric
- em algorithm
- probabilistic model
- gaussian mixture model
- mixed membership
- generative model
- density estimation
- dirichlet process
- language model
- variational methods
- expectation maximization
- unsupervised learning
- topic models
- latent dirichlet allocation
- exponential family
- model selection
- probability density function
- probabilistic graphical models
- gaussian process
- exact inference
- data mining
- maximum likelihood
- machine learning