Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.
Tong YuBranislav KvetonZheng WenRuiyi ZhangOle J. MengshoelPublished in: ICML (2020)
Keyphrases
- graphical models
- belief propagation
- approximate inference
- probabilistic inference
- probabilistic model
- random variables
- probabilistic graphical models
- free energy
- variational methods
- bayesian networks
- conditional independence
- map inference
- belief networks
- markov networks
- exact inference
- structure learning
- multi armed bandit
- conditional random fields
- random sampling
- markov chain monte carlo
- statistical inference
- factor graphs
- image segmentation
- importance sampling
- monte carlo
- loopy belief propagation
- relational databases
- posterior probability
- higher order
- undirected graphical models
- chain graphs