Alexander Strzalkowski

Variance Minimization in the Wasserstein Space for Invariant Causal Prediction

Selecting powerful predictors for an outcome is a cornerstone task for machine learning. However, some types of questions can only be answered by identifying the predictors that causally affect the outcome. A recent approach to this causal inference problem leverages the invariance property of a cau…