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