3 papers
stat.ME2025
Optimal Empirical Risk Minimization under Temporal Distribution Shifts
Yujin Jeong, Ramesh Johari, Dominik Rothenhäusler +1
Temporal distribution shifts pose a key challenge for machine learning models trained and deployed in dynamically evolving environments. This paper introduces RIDER (RIsk minimizat…
cs.LG2024
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
Johannes O. Ferstad, Emily B. Fox, David Scheinker +1
Digital health interventions (DHIs) and remote patient monitoring (RPM) have shown great potential in improving chronic disease management through personalized care. However, barri…
stat.ME2024
Identifying sparse treatment effects in high-dimensional outcome spaces
Yujin Jeong, Emily Fox, Ramesh Johari
Based on technological advances in sensing modalities, randomized trials with primary outcomes represented as high-dimensional vectors have become increasingly prevalent. For examp…