Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. - Soorajnath Boominathan; Michael Oberst; Helen Zhou; Sanjat Kanjilal; David A. Sontag (KDD, 2020)

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies. - Christina X. Ji; Michael Oberst; Sanjat Kanjilal; David A. Sontag (CoRR, 2020)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Identifying Differential Patient Care Through Inverse Intent Inference. - Hyewon Jeong; Siddharth Nayak; Taylor W. Killian; Sanjat Kanjilal (CoRR, 2024)

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records. - Fateme Nateghi Haredasht; Fatemeh Amrollahi; Manoj Maddali; Nicholas Marshall; Stephen P. Ma; Lauren N. Cooper; Richard J. Medford; Sanjat Kanjilal; Niaz Banaei; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; et al. (CoRR, 2025)