Importance Sampled Stochastic Optimization for Variational Inference.
Joseph SakayaArto KlamiPublished in: UAI (2017)
Keyphrases
- stochastic optimization
- variational inference
- bayesian inference
- topic models
- gaussian process
- posterior distribution
- variational methods
- latent dirichlet allocation
- multistage
- mixture model
- probabilistic model
- probabilistic graphical models
- closed form
- exponential family
- approximate inference
- graphical models
- exact inference
- factor graphs
- probability distribution
- belief networks
- bayesian networks
- markov random field
- graph cuts
- robust optimization
- learning algorithm
- prior information