Regularizing towards Causal Invariance: Linear Models with Proxies.
Michael OberstNikolaj ThamsJonas PetersDavid A. SontagPublished in: CoRR (2021)
Keyphrases
- linear models
- causal relationships
- causal effects
- variable selection
- linear model
- gaussian processes
- causal models
- bayesian networks
- causal relations
- causal discovery
- linear regression
- nonlinear models
- influence diagrams
- data mining
- feature selection
- machine learning
- nearest neighbor
- high dimensional
- active appearance models