Inference of Cause and Effect with Unsupervised Inverse Regression.
Eleni SgouritsaDominik JanzingPhilipp HennigBernhard SchölkopfPublished in: AISTATS (2015)
Keyphrases
- regression model
- machine learning
- linear regression
- model selection
- probabilistic inference
- unsupervised learning
- semi supervised
- data driven
- regression analysis
- completely unsupervised
- regression problems
- bayesian inference
- support vector
- data sets
- belief networks
- support vector regression
- inference engine
- expert systems
- bayesian model
- regression method
- inference process
- gaussian process regression
- ridge regression
- polynomial regression
- principal component analysis