No-regret approximate inference via Bayesian optimisation.
Rafael OliveiraLionel OttFabio RamosPublished in: UAI (2021)
Keyphrases
- approximate inference
- bayesian networks
- graphical models
- expectation propagation
- probabilistic inference
- markov chain monte carlo
- belief propagation
- exact inference
- variational approximation
- parameter estimation
- variational methods
- gaussian process
- latent variables
- message passing
- variational inference
- conditional random fields
- factor graphs
- dynamic bayesian networks
- posterior distribution
- loopy belief propagation
- bayesian inference
- maximum likelihood
- free energy
- lower bound
- probabilistic model
- posterior probability
- structured prediction
- worst case
- markov random field
- graph cuts
- random variables
- prior knowledge
- model selection
- pairwise