2 papers
stat.ML2026
A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity
Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1
Missing data, measurement error, and population heterogeneity are pervasive challenges in analyzing data arising from modern observational studies and machine learning applications…
stat.ME2026
Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
Yasin Khadem Charvadeh, Katherine S. Panageas, Yuan Chen
Individualized treatment rules (ITRs) aim to optimize healthcare by tailoring treatment decisions to patient-specific characteristics. Existing methods typically rely on either int…