1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2026
Conformal Policy Learning with Distribution-Free Safety Guarantees
Ying Jin, Naoki Egami
Policy learning aims to determine who should be treated based on individual characteristics. In high-stakes settings such as medicine and public policy where safety is a central co…
stat.AP2024★ 1 cited
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization
Ying Jin, Naoki Egami, Dominik Rothenhäusler
Many existing approaches to generalizing statistical inference amidst distribution shift operate under the covariate shift assumption, which posits that the conditional distributio…
stat.ME2021
Leveraging Population Outcomes to Improve the Generalization of Experimental Results
Melody Huang, Naoki Egami, Erin Hartman +1
Generalizing causal estimates in randomized experiments to a broader target population is essential for guiding decisions by policymakers and practitioners in the social and biomed…