Particle-based Variational Inference with Generalized Wasserstein Gradient Flow.
Ziheng ChengShiyue ZhangLonglin YuCheng ZhangPublished in: CoRR (2023)
Keyphrases
- variational inference
- gradient flow
- bayesian inference
- variational methods
- topic models
- level set
- curve evolution
- posterior distribution
- probabilistic graphical models
- probabilistic model
- mixture model
- latent dirichlet allocation
- gaussian process
- closed form
- energy functional
- active contours
- partial differential equations
- active contour model
- approximate inference
- exponential family
- prior information
- graphical models
- statistical model
- parameter estimation
- probability distribution
- image segmentation