Stochastic Variational Inference With Gradient Linearization.
Tobias PlötzAnne S. WannenwetschStefan RothPublished in: CVPR (2018)
Keyphrases
- variational inference
- bayesian inference
- topic models
- probabilistic model
- probabilistic graphical models
- posterior distribution
- variational methods
- gaussian process
- latent dirichlet allocation
- closed form
- mixture model
- exact inference
- exponential family
- graphical models
- approximate inference
- multiscale
- hyperparameters
- random sampling
- latent variables
- monte carlo
- factor graphs
- density estimation
- maximum likelihood
- language model
- probability distribution
- hidden markov models
- information retrieval