Black-Box Variational Inference for Stochastic Differential Equations.
Thomas RyderAndrew GolightlyA. Stephen McGoughDennis PranglePublished in: ICML (2018)
Keyphrases
- black box
- variational inference
- stochastic differential equations
- bayesian inference
- maximum a posteriori estimation
- topic models
- probabilistic model
- gaussian process
- posterior distribution
- variational methods
- closed form
- mixture model
- latent dirichlet allocation
- test cases
- latent variables
- prior information
- probability distribution
- approximate inference
- training data
- graphical models
- gaussian distribution
- generative model