Aaron Sonabend W.

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Partially Observable Environments

Knowledge Integration

Reinforcement Learning

Function Approximation

Top Venues

Int. J. Medical Informatics

npj Digit. Medicine

Publications

Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai
Federated Offline Reinforcement Learning. CoRR (2022)
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, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. npj Digit. Medicine 4 (2021)
Aaron Sonabend W., Junwei Lu, Leo A. Celi, Tianxi Cai, Peter Szolovits
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. CoRR (2020)
Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS (2020)
Aaron Sonabend W., Winston Cai, Yuri Ahuja, Ashwin N. Ananthakrishnan, Zongqi Xia, Sheng Yu, Chuan Hong
Automated ICD coding via unsupervised knowledge integration (UNITE). Int. J. Medical Informatics 139 (2020)
Aaron Sonabend W., Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai
Semi-Supervised Off Policy Reinforcement Learning. CoRR (2020)