From MAP to Marginals: Variational Inference in Bayesian Submodular Models.
Josip DjolongaAndreas KrausePublished in: NIPS (2014)
Keyphrases
- variational inference
- bayesian inference
- probabilistic model
- topic models
- posterior distribution
- probabilistic graphical models
- graphical models
- mixture model
- variational methods
- gaussian process
- latent dirichlet allocation
- maximum a posteriori
- statistical models
- bayesian networks
- exponential family
- markov chain monte carlo
- density estimation
- energy minimization
- closed form
- parameter estimation
- model selection
- least squares
- factor graphs
- image sequences