Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes.
Guanchao FengKezi YuYunlong WangYilian YuanPetar M. DjuricPublished in: ICASSP (2020)
Keyphrases
- gaussian processes
- causal discovery
- gaussian process
- causal models
- gaussian process regression
- causal relationships
- discovery process
- directed acyclic graph
- bayesian networks
- covariance function
- conditional independence
- gaussian process models
- regression model
- bayesian framework
- semi supervised
- probabilistic model
- support vector
- hyperparameters
- image reconstruction
- model selection
- supervised learning
- computational complexity