2 papers
cs.LG2025
DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
Estimating causal effects from observational data is challenging due to selection bias, which leads to imbalanced covariate distributions across treatment groups. Propensity score-…
cs.LG2024
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement
Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
Estimating treatment effects from observational data is paramount in healthcare, education, and economics, but current deep disentanglement-based methods to address selection bias…