Hi-CI: Deep Causal Inference in High Dimensions.
Ankit SharmaGarima GuptaRanjitha PrasadArnab ChatterjeeLovekesh VigGautam ShroffPublished in: CD@KDD (2020)
Keyphrases
- high dimensions
- causal inference
- high dimensional
- additive noise
- high dimensional data
- discrete data
- abductive reasoning
- causal models
- nonmonotonic reasoning
- rare events
- high dimensional spaces
- poor quality
- observational data
- nearest neighbor
- neural network
- causal discovery
- data sets
- continuous data
- feature space
- pattern recognition
- input image
- low dimensional
- data mining
- multi dimensional
- dimensionality reduction