Stochastic Variational Inference with Gradient Linearization.
Tobias PlötzAnne S. WannenwetschStefan RothPublished in: CoRR (2018)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic model
- mixture model
- gaussian process
- latent dirichlet allocation
- probabilistic graphical models
- variational methods
- closed form
- approximate inference
- exact inference
- factor graphs
- exponential family
- density estimation
- graphical models
- monte carlo
- markov networks
- latent variables
- parameter estimation
- multiscale
- edge detection
- hyperparameters
- prior information
- belief propagation
- regression model