Causal Discovery via Reproducing Kernel Hilbert Space Embeddings.
Zhitang ChenKun ZhangLaiwan ChanBernhard SchölkopfPublished in: Neural Comput. (2014)
Keyphrases
- reproducing kernel hilbert space
- causal discovery
- euclidean space
- hilbert space
- causal models
- causal relationships
- distance measure
- loss function
- bayesian networks
- vector space
- low dimensional
- gaussian process
- discovery process
- shape analysis
- kernel methods
- kernel function
- directed acyclic graph
- conditional independence
- input space
- euclidean distance
- density estimation
- data dependent
- metric space
- learning problems
- high dimensional data
- domain adaptation
- similarity measure
- learning theory
- real valued
- data points
- support vector
- machine learning
- dimensionality reduction
- probabilistic model
- kernel matrix
- special case
- feature space