On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.
Alexander G. de G. MatthewsJames HensmanRichard E. TurnerZoubin GhahramaniPublished in: AISTATS (2016)
Keyphrases
- kullback leibler divergence
- variational methods
- approximate inference
- dynamic bayesian networks
- mutual information
- optic flow
- information theoretic
- probability density function
- distance measure
- probability distribution
- level set
- curve evolution
- probabilistic inference
- sparse representation
- optical flow
- exponential family
- gaussian process
- marginal distributions
- random fields
- graphical models
- high dimensional
- bayesian networks
- belief propagation
- parameter estimation
- least squares
- mixture model
- multiscale
- similarity measure