Particle-based Variational Inference with Generalized Wasserstein Gradient Flow.
Ziheng ChengShiyue ZhangLonglin YuCheng ZhangPublished in: NeurIPS (2023)
Keyphrases
- variational inference
- gradient flow
- bayesian inference
- variational methods
- topic models
- posterior distribution
- probabilistic model
- level set
- curve evolution
- latent dirichlet allocation
- active contours
- probabilistic graphical models
- energy functional
- gaussian process
- partial differential equations
- closed form
- mixture model
- active contour model
- approximate inference
- exponential family
- pairwise
- image processing
- hyperparameters
- region growing
- prior information
- belief propagation
- image denoising
- graphical models
- edge detection