On the relationship between variational inference and adaptive importance sampling.
Axel FinkeAlexandre H. ThieryPublished in: CoRR (2019)
Keyphrases
- importance sampling
- variational inference
- posterior distribution
- approximate inference
- monte carlo
- markov chain monte carlo
- gaussian process
- bayesian inference
- markov chain
- kalman filter
- probabilistic model
- hyperparameters
- probability distribution
- topic models
- latent dirichlet allocation
- latent variables
- bayesian framework
- particle filter
- particle filtering
- posterior probability
- message passing
- closed form
- probabilistic inference
- maximum a posteriori
- mixture model
- prior information
- cross validation
- belief propagation
- graphical models
- dimensionality reduction
- stereo matching
- support vector