Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems.
Ziyi HuangHenry LamAmirhossein MeisamiHaofeng ZhangPublished in: CoRR (2022)
Keyphrases
- approximate inference
- bandit problems
- upper confidence bound
- bayesian networks
- graphical models
- probabilistic inference
- belief propagation
- markov chain monte carlo
- contextual bandit
- parameter estimation
- expectation propagation
- exact inference
- decision problems
- gaussian process
- message passing
- latent variables
- posterior distribution
- conditional random fields
- dynamic bayesian networks
- maximum likelihood
- random variables
- influence diagrams
- graph cuts
- markov random field
- data mining
- bayesian inference
- belief networks
- stereo matching
- pairwise