2 papers
stat.ME2025
Counterfactual Mean-variance Optimization
Kwangho Kim, Alan Mishler, José R. Zubizarreta
We study a counterfactual mean-variance optimization, where the mean and variance are defined as functionals of counterfactual distributions. The optimization problem defines the o…
stat.ML2024
Causal effects based on distributional distances
Kwangho Kim, Jisu Kim, Edward H. Kennedy
Comparing counterfactual distributions can provide more nuanced and valuable measures for causal effects, going beyond typical summary statistics such as averages. In this work, we…