Boosting Variational Inference: an Optimization Perspective.
Francesco LocatelloRajiv KhannaJoydeep GhoshGunnar RätschPublished in: CoRR (2017)
Keyphrases
- energy function
- variational inference
- graph cuts
- markov random field
- bayesian inference
- probabilistic model
- topic models
- gaussian process
- probabilistic graphical models
- posterior distribution
- mixture model
- latent dirichlet allocation
- belief propagation
- closed form
- graphical models
- variational methods
- learning algorithm
- generative model
- semi supervised
- knowledge discovery
- multiscale
- bayesian networks
- feature selection