(￥\alpha￥-￥\beta￥: author names are sorted alphabetically)
Achieving Low Regret for Contextual Network Revenue Management Adam Elmachtoub, Rachitesh Kumar, Haixiang Lan (￥\alpha￥-￥\beta￥) Submitted
Data-Driven Admission Control under Cost Uncertainty Adam Elmachtoub, Rachitesh Kumar, Haixiang Lan (￥\alpha￥-￥\beta￥) To be Submitted
Data-Driven Robust Group Selection Adam Elmachtoub, Rachitesh Kumar, Haixiang Lan (￥\alpha￥-￥\beta￥) In Preparation
End-to-End Reliable Contextual Optimization Henry Lam, Haixiang Lan, Tianyu Wang (￥\alpha￥-￥\beta￥) In Preparation
The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective Haixiang Lan, Luofeng Liao, Adam Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang Accepted to The 39th Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Dissecting the Impact of Model Misspecification in Data-Driven Optimization Adam Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang (￥\alpha￥-￥\beta￥) Accepted to The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
LP-based Control for Network Revenue Management under Markovian Demands Haixiang Lan , Guillermo Gallego, Zizhuo Wang, Yinyu Ye Accepted to The 20th Conference on Web and Internet Economics (WINE), 2024
A Tuning-Free Primal-Dual Splitting Algorithm for Large-Scale Semidefinite Programming Haixiang Lan, Yinjun Wang, Yinyu Ye (￥\alpha￥-￥\beta￥) Accepted to INFORMS Optimization Society (IOS), 2024