Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models.
Hamed JalaliGjergji KasneciPublished in: BigComp (2022)
Keyphrases
- undirected graphical models
- graphical models
- conditional random fields
- probabilistic model
- probabilistic graphical models
- approximate inference
- partition function
- markov networks
- maximum likelihood
- factor graphs
- belief propagation
- gene regulatory networks
- exact inference
- random variables
- posterior distribution
- random fields
- graph structure
- markov random field
- upper bound
- probabilistic inference
- structure learning
- gaussian model
- hidden markov models
- network model
- pairwise
- hidden variables
- message passing
- maximum entropy
- upper and lower bounds
- higher order
- high dimensional