Convergence Analysis of Sparse Bayesian Learning Under Approximate Inference Techniques.
Christo Kurisummoottil ThomasDirk T. M. SlockPublished in: ACSSC (2019)
Keyphrases
- approximate inference
- convergence analysis
- graphical models
- probabilistic inference
- belief propagation
- gaussian process
- parameter estimation
- message passing
- exact inference
- latent variables
- conditional random fields
- bayesian networks
- dynamic bayesian networks
- factor graphs
- structured prediction
- partition function
- probabilistic model
- regression model
- gaussian processes
- markov networks