Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.
Ziyu WangYuhao ZhouTongzheng RenJun ZhuPublished in: NeurIPS (2021)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- regression model
- bayesian model
- statistical inference
- probabilistic modeling
- markov networks
- variational inference
- gaussian processes
- hierarchical bayesian
- weighted model counting
- variational bayes
- linear regression
- support vector
- model selection
- particle filter
- text mining
- hidden variables
- graphical models
- prior knowledge
- bayesian models
- variational approximation
- data sets