On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation.
Simon WeissmannJakob ZechPublished in: CoRR (2024)
Keyphrases
- free energy
- variational approximation
- approximate inference
- bayesian inference
- exact inference
- cost function
- variational methods
- continuous time bayesian networks
- closed form
- em algorithm
- latent variables
- kullback leibler
- variational bayes
- upper bound
- statistical mechanics
- belief propagation
- image segmentation
- error bounds
- fixed point
- loopy belief propagation
- approximation algorithms
- markov chain monte carlo
- markov random field
- variational inference
- belief networks
- graphical models
- partition function
- optical flow
- objective function
- neural network
- posterior distribution
- higher order
- bayesian networks