High Dimensional Causal Inference with Variational Backdoor Adjustment.
Daniel IsraelAditya GroverGuy Van den BroeckPublished in: CoRR (2023)
Keyphrases
- causal inference
- high dimensional
- discrete data
- additive noise
- causal models
- low dimensional
- image segmentation
- continuous data
- nonmonotonic reasoning
- abductive reasoning
- similarity search
- feature space
- high dimensionality
- rare events
- high dimensional data
- data points
- dimensionality reduction
- optical flow
- multiscale
- nearest neighbor
- hidden markov models
- feature selection
- graphical models