Kullback-Leibler Proximal Variational Inference.
Mohammad E. KhanPierre BaquéFrançois FleuretPascal FuaPublished in: NIPS (2015)
Keyphrases
- variational inference
- kullback leibler
- kl divergence
- posterior distribution
- exponential family
- bayesian inference
- probabilistic model
- gaussian process
- topic models
- mixture model
- variational methods
- distance measure
- cross entropy
- kullback leibler divergence
- latent dirichlet allocation
- closed form
- latent variables
- log likelihood
- graphical models
- maximum likelihood
- density estimation
- probability distribution
- hyperparameters
- markov chain monte carlo
- bayesian framework
- statistical models
- exact inference
- parameter estimation
- approximate inference
- prior information
- missing values
- least squares
- image segmentation
- gaussian distribution
- information retrieval
- maximum a posteriori
- model selection
- em algorithm
- expectation maximization
- mutual information
- order statistics
- text mining
- semi supervised
- pairwise