3 papers
stat.ME2025
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Linying Yang, Robin J. Evans, Jens Magelund Tarp +1
Machine learning has revitalized causal inference by combining flexible models and principled estimators, yet robust benchmarking and evaluation remain challenging with real-world…
cs.LG2025
Testing Generalizability in Causal Inference
Daniel de Vassimon Manela, Linying Yang, Robin J. Evans
Ensuring robust model performance in diverse real-world scenarios requires addressing generalizability across domains with covariate shifts. However, no formal procedure exists for…
stat.ME2025
Outcome-Informed Weighting for Robust ATE Estimation
Linying Yang, Robin J. Evans
Reliable causal effect estimation from observational data requires adjustment for confounding and sufficient overlap in covariate distributions between treatment groups. However, i…