Feature Selection for Causal Inference from High Dimensional Observational Data with Outcome Adaptive Elastic Net.
Md Saiful IslamMd. Noor-E.-AlamPublished in: CoRR (2021)
Keyphrases
- causal inference
- observational data
- elastic net
- high dimensional
- feature selection
- experimental data
- discrete data
- directed acyclic graph
- high dimensionality
- dimensionality reduction
- causal models
- latent variables
- causal relationships
- feature space
- additive noise
- nonmonotonic reasoning
- bayesian networks
- abductive reasoning
- causal discovery
- low dimensional
- sample size
- continuous data
- rare events
- machine learning
- dimension reduction
- high dimensional data
- model selection
- text classification
- classification accuracy
- similarity search
- text categorization
- image processing
- prior knowledge
- decision problems
- class imbalance
- graphical models
- feature set
- semi supervised
- data points
- support vector