From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference.
Quinn LannersHarsh ParikhAlexander VolfovskyCynthia RudinDavid PagePublished in: CoRR (2023)
Keyphrases
- distance metric
- causal inference
- feature importance
- metric learning
- euclidean distance
- additive noise
- random forest
- distance measure
- data points
- distance function
- abductive reasoning
- causal models
- relevance feedback
- nonmonotonic reasoning
- observational data
- machine learning
- semi supervised
- discrete data
- feature extraction