4 papers
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…
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…
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…
Hybrid Neural ODE Causal Modeling and an Application to Glycemic Response
Bob Junyi Zou, Matthew E. Levine, Dessi P. Zaharieva +2
Hybrid models composing mechanistic ODE-based dynamics with flexible and expressive neural network components have grown rapidly in popularity, especially in scientific domains whe…