Scaling Nonparametric Bayesian Inference via Subsample-Annealing.
Fritz ObermeyerJonathan GliddenEric JonasPublished in: AISTATS (2014)
Keyphrases
- bayesian inference
- hierarchical bayesian
- statistical inference
- probabilistic model
- variational inference
- hyperparameters
- prior information
- variational bayes
- simulated annealing
- particle filter
- hidden variables
- bayesian model
- probabilistic modeling
- gibbs sampler
- data sets
- bayesian models
- weighted model counting
- density estimation
- model selection
- em algorithm
- graphical models
- reinforcement learning