Rotation equivariance is a desirable property in many practical applicat...
We examine interval estimation of the effect of a treatment T on an outc...
A key to causal inference with observational data is achieving balance i...
Causal inference, or counterfactual prediction, is central to decision m...
There is growing interest in applying machine learning methods for
count...