Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. - Aaron Sonabend W.; Junwei Lu; Leo Anthony Celi; Tianxi Cai; Peter Szolovits (NeurIPS, 2020)

Semi-Supervised Off Policy Reinforcement Learning. - Aaron Sonabend W.; Nilanjana Laha; Rajarshi Mukherjee; Tianxi Cai (CoRR, 2020)

Automated ICD coding via unsupervised knowledge integration (UNITE). - Aaron Sonabend W.; Winston Cai; Yuri Ahuja; Ashwin N. Ananthakrishnan; Zongqi Xia; Sheng Yu 002; Chuan Hong (Int. J. Medical Informatics, 2020)

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Chuan Hong; Everett Neil Rush; Molei Liu; Doudou Zhou; Jiehuan Sun; Aaron Sonabend W.; Victor M. Castro; Petra Schubert; Vidul Ayakulangara Panickan; Tianrun Cai; Lauren Costa; Zeling He; et al. (npj Digit. Medicine, 2021)

Federated Offline Reinforcement Learning. - Doudou Zhou; Yufeng Zhang 007; Aaron Sonabend W.; Zhaoran Wang 001; Junwei Lu; Tianxi Cai (CoRR, 2022)

Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes. - Aaron Sonabend W.; Nilanjana Laha; Ashwin N. Ananthakrishnan; Tianxi Cai; Rajarshi Mukherjee (J. Mach. Learn. Res., 2023)