Variational Inference for Neyman-Scott Processes.
Chengkuan HongChristian R. SheltonPublished in: CoRR (2023)
Keyphrases
- variational inference
- bayesian inference
- probabilistic model
- mixture model
- topic models
- posterior distribution
- latent dirichlet allocation
- variational methods
- gaussian process
- closed form
- exact inference
- probabilistic graphical models
- dimensionality reduction
- approximate inference
- graphical models
- latent variables
- state space
- markov networks
- hidden markov models