Tuning the Learning Rate for Stochastic Variational Inference.
Ximing LiJihong OuyangPublished in: J. Comput. Sci. Technol. (2016)
Keyphrases
- learning rate
- variational inference
- bayesian inference
- convergence rate
- posterior distribution
- topic models
- probabilistic graphical models
- probabilistic model
- gaussian process
- learning algorithm
- closed form
- latent dirichlet allocation
- variational methods
- mixture model
- convergence speed
- exponential family
- graphical models
- exact inference
- approximate inference
- generative model
- prior information
- parameter settings
- maximum likelihood
- dimensionality reduction
- global optimization
- semi supervised