3 papers
stat.ML2026
Data-Poisoning Audits for Causal Effect Estimation
Kwangho Kim
Observational causal analyses increasingly pool records across sites, vendors, and collection systems, creating vulnerability to append-only attacks in which plausible records are…
stat.ME2026
Topological Causal Effects
Kwangho Kim, Hajin Lee
Estimating causal effects is particularly challenging when outcomes arise in complex, non-Euclidean spaces, where conventional methods often fail to capture meaningful structural v…
stat.ME2024
Hierarchical and Density-based Causal Clustering
Kwangho Kim, Jisu Kim, Larry A. Wasserman +1
Understanding treatment effect heterogeneity is vital for scientific and policy research. However, identifying and evaluating heterogeneous treatment effects pose significant chall…