Emily J. Getzen

According to our database, Emily J. Getzen authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization.

Jiancong Xiao, Ziniu Li, Xingyu Xie, Emily J. Getzen, Cong Fang, Qi Long, Weijie J. Su

CoRR, 2024

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation.

Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data.

Zongyu Dai, Emily J. Getzen, Qi Long

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes

J. Biomed. Informatics, March, 2023

Mining for equitable health: Assessing the impact of missing data in electronic health records.

Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long

J. Biomed. Informatics, March, 2023