Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data.
Omar GhattasTobin IsaacNoémi PetraGeorg StadlerPublished in: VECPAR (2016)
Keyphrases
- bayesian inference
- data structure
- massive scale
- data sets
- bayesian models
- large scale data sets
- statistical inference
- incomplete data
- learning algorithm
- learning models
- probabilistic model
- hidden variables
- data mining techniques
- statistical methods
- learned models
- training data
- data mining algorithms
- missing values
- prior information
- missing data
- model selection
- em algorithm
- hyperparameters
- web scale
- graphical models
- hierarchical bayesian