Statistical scalability and approximate inference in distributed computing environments.
Aritra ChakravortyWilliam S. ClevelandPatrick J. WolfePublished in: CoRR (2021)
Keyphrases
- approximate inference
- graphical models
- probabilistic inference
- belief propagation
- exact inference
- parameter estimation
- gaussian process
- variational methods
- message passing
- bayesian networks
- latent variables
- factor graphs
- loopy belief propagation
- free energy
- conditional random fields
- dynamic bayesian networks
- expectation propagation
- structured prediction
- belief networks
- probabilistic model
- training set
- post processing