Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.
Ziyu WangYuhao ZhouTongzheng RenJun ZhuPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational inference
- regression model
- markov networks
- statistical inference
- probabilistic modeling
- variational bayes
- model selection
- gaussian processes
- linear regression
- gibbs sampler
- hierarchical bayesian
- prior distribution
- hidden variables
- image segmentation
- data sets
- particle filter
- reinforcement learning
- expectation propagation
- bayesian models
- decision trees
- machine learning