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)

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METHOD TYPE
Causal Inference