Yewon Byun

According to our database, Yewon Byun authored at least 9 papers between 2024 and 2025.

Collaborative distances:

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

2025

Using Imperfect Synthetic Data in Downstream Inference Tasks.

Yewon Byun, Shantanu Gupta, Zachary C. Lipton, Rachel Leah Childers, Bryan Wilder

CoRR, August, 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

Trans. Mach. Learn. Res., 2025

Valid Inference with Imperfect Synthetic Data.

Yewon Byun, Shantanu Gupta, Zachary C. Lipton, Rachel Leah Childers, Bryan Wilder

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Decision-Focused Uncertainty Quantification.

Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder

CoRR, 2024

Bayesian Neural Networks with Domain Knowledge Priors.

Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter

CoRR, 2024

Decision-Focused Evaluation of Worst-Case Distribution Shift.

Kevin Ren, Yewon Byun, Bryan Wilder

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Auditing Fairness under Unobserved Confounding.

Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder

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