Functional Variational Inference based on Stochastic Process Generators.
Chao MaJosé Miguel Hernández-LobatoPublished in: NeurIPS (2021)
Keyphrases
- stochastic process
- variational inference
- bayesian inference
- stochastic processes
- markov chain
- topic models
- stochastic model
- variational methods
- probabilistic model
- gaussian process
- mixture model
- posterior distribution
- latent dirichlet allocation
- closed form
- approximate inference
- machine learning
- prior information
- bayesian framework
- random fields
- markov networks
- diffusion process
- model selection
- em algorithm
- scale space
- probability distribution