Jiameng Lyu

According to our database, Jiameng Lyu authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects.

Xi Chen, Shibo Dai, Jiameng Lyu, Yuan Zhou

CoRR, May, 2026

Adaptive Budget Allocation in LLM-Augmented Surveys.

Zikun Ye, Jiameng Lyu, Rui Tao

CoRR, April, 2026

Technical Note - Fairness-Aware Online Price Discrimination with Nonparametric Demand Models.

Xi Chen, Jiameng Lyu, Xuan Zhang, Yuan Zhou

Oper. Res., 2026

2025

Learning When to Restart: Nonstationary Newsvendor from Uncensored to Censored Demand.

Xin Chen, Jiameng Lyu, Shilin Yuan, Yuan Zhou

CoRR, September, 2025

A Minibatch Stochastic Gradient Descent-Based Learning Metapolicy for Inventory Systems with Myopic Optimal Policy.

Jiameng Lyu, Jinxing Xie, Shilin Yuan, Yuan Zhou

Manag. Sci., 2025

2024

Asymptotic optimality of base-stock policies for lost-sales inventory systems with stochastic lead times.

Shilin Yuan, Jiameng Lyu, Jinxing Xie, Yuan Zhou

Oper. Res. Lett., 2024

A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy.

Jiameng Lyu, Jinxing Xie, Shilin Yuan, Yuan Zhou

CoRR, 2024

Closing the Gaps: Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems.

Jiameng Lyu, Shilin Yuan, Bingkun Zhou, Yuan Zhou

CoRR, 2024

2023

Stochastic Constrained DRO with a Complexity Independent of Sample Size.

Qi Qi, Jiameng Lyu, Kung-Sik Chan, Er-Wei Bai, Tianbao Yang

Trans. Mach. Learn. Res., 2023

2022

Fairness-aware Network Revenue Management with Demand Learning.

Xi Chen, Jiameng Lyu, Yining Wang, Yuan Zhou

CoRR, 2022