An Adaptive Learning Rate for Stochastic Variational Inference.
Rajesh RanganathChong WangDavid M. BleiEric P. XingPublished in: ICML (2) (2013)
Keyphrases
- learning rate
- variational inference
- bayesian inference
- probabilistic model
- posterior distribution
- gaussian process
- topic models
- latent dirichlet allocation
- convergence rate
- mixture model
- learning algorithm
- variational methods
- probabilistic graphical models
- convergence speed
- closed form
- exponential family
- exact inference
- approximate inference
- factor graphs
- bayesian framework
- latent variables
- belief propagation
- graphical models
- probability distribution
- neural network
- prior information
- hyperparameters
- missing values
- statistical models
- regression model
- markov networks
- markov chain
- semi supervised
- bayesian networks
- genetic algorithm