Sparse Implicit Processes for Approximate Inference.
Simón Rodríguez SantanaBryan ZaldivarDaniel Hernández-LobatoPublished in: CoRR (2021)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- gaussian process
- parameter estimation
- message passing
- exact inference
- loopy belief propagation
- variational methods
- dynamic bayesian networks
- bayesian networks
- factor graphs
- latent variables
- expectation propagation
- conditional random fields
- markov random field
- high dimensional
- structured prediction
- free energy
- probabilistic model
- regression model
- machine learning
- generalized belief propagation
- stereo matching
- upper bound
- computer vision