Structured Variational Inference in Continuous Cox Process Models.
Virginia AgliettiEdwin V. BonillaTheodoros DamoulasSally CrippsPublished in: NeurIPS (2019)
Keyphrases
- process model
- variational inference
- bayesian inference
- gaussian process
- process mining
- topic models
- probabilistic model
- posterior distribution
- latent dirichlet allocation
- regression model
- probabilistic graphical models
- mixture model
- business processes
- business process
- variational methods
- exact inference
- event logs
- closed form
- approximate inference
- exponential family
- conditional random fields
- petri net
- latent variables
- neural network
- optic flow
- parameter estimation
- generative model
- language model
- co occurrence
- text mining
- feature selection