Byun, Yewon

7 publications

TMLR 2025 Expert Routing with Synthetic Data for Domain Incremental Learning Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton

ICLR 2025 Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder

NeurIPS 2025 Valid Inference with Imperfect Synthetic Data Yewon Byun, Shantanu Gupta, Zachary Chase Lipton, Rachel Leah Childers, Bryan Wilder

AISTATS 2024 Auditing Fairness Under Unobserved Confounding Yewon Byun, Dylan Sam, Michael Oberst, Zachary Lipton, Bryan Wilder

UAI 2024 Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren, Yewon Byun, Bryan Wilder

ICMLW 2023 Conditional Diffusion Replay for Continual Learning in Medical Settings Yewon Byun, Saurabh Garg, Sanket Vaibhav Mehta, Praveer Singh, Jayashree Kalpathy-cramer, Bryan Wilder, Zachary Chase Lipton

ICMLW 2023 Identifying Inequity in Treatment Allocation Yewon Byun, Dylan Sam, Zachary Chase Lipton, Bryan Wilder