Electrostatics-based particle sampling and approximate inference.
Yongchao HuangPublished in: CoRR (2024)
Keyphrases
- approximate inference
- markov chain monte carlo
- importance sampling
- graphical models
- belief propagation
- probabilistic inference
- exact inference
- parameter estimation
- gaussian process
- message passing
- variational methods
- latent variables
- loopy belief propagation
- bayesian networks
- factor graphs
- structured prediction
- free energy
- dynamic bayesian networks
- conditional random fields
- expectation propagation
- variational approximation
- random variables
- graph cuts
- stereo matching
- least squares
- probabilistic model
- random sampling
- belief networks
- higher order
- upper bound
- image processing
- feature selection