Thompson Sampling and Approximate Inference.
My PhanYasin Abbasi-YadkoriJustin DomkePublished in: NeurIPS (2019)
Keyphrases
- approximate inference
- markov chain monte carlo
- importance sampling
- graphical models
- belief propagation
- probabilistic inference
- parameter estimation
- exact inference
- message passing
- variational methods
- gaussian process
- bayesian networks
- loopy belief propagation
- factor graphs
- latent variables
- dynamic bayesian networks
- random sampling
- markov random field
- random variables
- structured prediction
- conditional random fields
- expectation propagation
- generalized belief propagation
- free energy
- information retrieval
- probabilistic model
- high quality
- sample size
- graph cuts
- maximum likelihood
- active learning
- variational approximation
- similarity measure