Regression by dependence minimization and its application to causal inference in additive noise models.
Joris M. MooijDominik JanzingJonas PetersBernhard SchölkopfPublished in: ICML (2009)
Keyphrases
- causal inference
- additive noise
- noisy images
- spatial domain
- maximum likelihood
- causal models
- random variables
- abductive reasoning
- nonmonotonic reasoning
- discrete data
- rare events
- model selection
- probabilistic model
- frequency domain
- computer vision
- causal relationships
- image denoising
- feature extraction
- reasoning tasks
- logic programming
- bayesian networks
- observational data
- image sequences