Auditing Fairness under Unobserved Confounding. - Yewon Byun; Dylan Sam; Michael Oberst; Zachary C. Lipton; Bryan Wilder (AISTATS, 2024)

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

Bayesian Neural Networks with Domain Knowledge Priors. - Dylan Sam; Rattana Pukdee; Daniel P. Jeong; Yewon Byun; J. Zico Kolter (CoRR, 2024)

Decision-Focused Uncertainty Quantification. - Santiago Cortes-Gomez; Carlos Miguel Patiño; Yewon Byun; Steven Wu 001; Eric Horvitz; Bryan Wilder (CoRR, 2024)

Generate to Discriminate: Expert Routing for Continual Learning. - Yewon Byun; Sanket Vaibhav Mehta; Saurabh Garg; Emma Strubell; Michael Oberst; Bryan Wilder; Zachary C. Lipton (CoRR, 2024)

Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification. - Santiago Cortes-Gomez; Carlos Miguel Patiño; Yewon Byun; Steven Wu 001; Eric Horvitz; Bryan Wilder (ICLR, 2025)

Using Imperfect Synthetic Data in Downstream Inference Tasks. - Yewon Byun; Shantanu Gupta; Zachary C. Lipton; Rachel Leah Childers; Bryan Wilder (CoRR, 2025)