Ruicheng Ao

According to our database, Ruicheng Ao authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints.

Ruicheng Ao, Gan Luo, David Simchi-Levi, Xinshang Wang

CoRR, April, 2025

Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices.

Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

CoRR, January, 2025

2024

Riemannian Natural Gradient Methods.

Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen

SIAM J. Sci. Comput., February, 2024

Prediction-Guided Active Experiments.

Ruicheng Ao, Hongyu Chen, David Simchi-Levi

CoRR, 2024

Online Local False Discovery Rate Control: A Resource Allocation Approach.

Ruicheng Ao, Hongyu Chen, David Simchi-Levi, Feng Zhu

CoRR, 2024

2023

Monte Carlo Policy Gradient Method for Binary Optimization.

Cheng Chen, Ruitao Chen, Tianyou Li, Ruicheng Ao, Zaiwen Wen

CoRR, 2023

Asynchronous Gradient Play in Zero-Sum Multi-agent Games.

Ruicheng Ao, Shicong Cen, Yuejie Chi

Proceedings of the Eleventh International Conference on Learning Representations, 2023