Markovian Score Climbing: Variational Inference with KL(p||q).
Christian A. NaessethFredrik LindstenDavid M. BleiPublished in: NeurIPS (2020)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic model
- probabilistic graphical models
- gaussian process
- latent dirichlet allocation
- mixture model
- variational methods
- closed form
- exponential family
- kullback leibler
- prior information
- graphical models
- particle filter
- maximum likelihood
- exact inference
- probability distribution
- parameter estimation
- hyperparameters
- generative model
- factor graphs
- pairwise
- information retrieval
- latent variables
- regression model
- approximate inference
- image segmentation