The $χ$-Divergence for Approximate Inference.
Adji B. DiengDustin TranRajesh RanganathJohn W. PaisleyDavid M. BleiPublished in: CoRR (2016)
Keyphrases
- approximate inference
- graphical models
- probabilistic inference
- belief propagation
- exact inference
- gaussian process
- latent variables
- message passing
- bayesian networks
- parameter estimation
- variational methods
- conditional random fields
- factor graphs
- loopy belief propagation
- structured prediction
- expectation propagation
- dynamic bayesian networks
- free energy
- random variables
- kullback leibler
- least squares
- prior knowledge
- computer vision
- generalized belief propagation
- posterior distribution
- kl divergence
- topic models
- graph cuts
- similarity measure
- three dimensional