Fairness-aware Network Revenue Management with Demand Learning. - Xi Chen 010; Jiameng Lyu; Yining Wang 001; Yuan Zhou 007 (CoRR, 2022)

Stochastic Constrained DRO with a Complexity Independent of Sample Size. - Qi Qi 006; Jiameng Lyu; Kung-Sik Chan; Er-Wei Bai; Tianbao Yang (Trans. Mach. Learn. Res., 2023)

Closing the Gaps: Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems. - Jiameng Lyu; Shilin Yuan; Bingkun Zhou; Yuan Zhou 007 (CoRR, 2024)

A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy. - Jiameng Lyu; Jinxing Xie; Shilin Yuan; Yuan Zhou 007 (CoRR, 2024)

Asymptotic optimality of base-stock policies for lost-sales inventory systems with stochastic lead times. - Shilin Yuan; Jiameng Lyu; Jinxing Xie; Yuan Zhou 007 (Oper. Res. Lett., 2024)

A Minibatch Stochastic Gradient Descent-Based Learning Metapolicy for Inventory Systems with Myopic Optimal Policy. - Jiameng Lyu; Jinxing Xie; Shilin Yuan; Yuan Zhou 007 (Manag. Sci., 2025)