Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates
Estimating the causal effects of an intervention from high-dimensional observational data is difficult due to the presence of confounding. The task is often complicated by the fact that we may have a systematic missingness in our data at test time... (read more)
PDFTasks
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MIMIC-III
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Causal Inference
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