Variational Inference via \chi Upper Bound Minimization.
Adji Bousso DiengDustin TranRajesh RanganathJohn W. PaisleyDavid M. BleiPublished in: NIPS (2017)
Keyphrases
- variational inference
- upper bound
- bayesian inference
- lower bound
- topic models
- mixture model
- gaussian process
- posterior distribution
- probabilistic graphical models
- latent dirichlet allocation
- probabilistic model
- variational methods
- closed form
- worst case
- exponential family
- objective function
- approximate inference
- exact inference
- hyperparameters
- graphical models
- latent variables
- prior information
- sample size
- factor graphs
- model selection
- information extraction