Hao-Ran Lei

Risk-Calibrated Balancing for High-Dimensional Causal Extrapolation

In observational causal inference, covariate balancing is widely used to reduce source-target covariate shift, but under weak overlap in high dimensions, stronger balance can induce concentrated weights and increase variance. Balance measures how well the target covariate distribution is represented, but does not by it...