Papers

Sorry I do not have many publications. Please push me when you see this message.

Preprints

• Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints [SSRN]
  R. Ao, G. Luo, D. Simchi-Levi, X. Wang, available on SSRN

• Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices [arXiv]
  R. Ao, J. Jiang, D. Simchi-Levi, arXiv preprint arXiv:2501.14155

• Riemannian Online Convex Optimization with Self-Concordant Barrier [SSRN]
  R. Ao, H. Hu, D. Simchi-Levi, available on SSRN

• Prediction-Guided Active Experiments [arXiv]
  R. Ao, H. Chen, D. Simchi-Levi, arXiv preprint arXiv:2411.12036

• Two-stage Online Reusable Resource Allocation: Reservation, Overbooking and Confirmation Call [SSRN]
  R. Ao, H. Fu, D. Simchi-Levi, available on SSRN

• Bayesian Online Multiple Testing: A Resource Allocation Approach [arXiv]
  R. Ao, H. Chen, D. Simchi-Levi, F.Zhu, arXiv preprint arXiv:2402.11425, finalist in Revenue Management and Pricing 2024 Jeff McGill Student Paper Award

Conference Proceedings

• Asynchronous Gradient Play in Zero-Sum Multi-agent Games [arXiv]
  R. Ao, S. Cen, and Y. Chi, International Conference on Learning Representations (ICLR), 2023.

Journals

• Riemannian natural gradient methods [arXiv]
  J. Hu, R. Ao, AMC. So, M Yang, Z. Wen, SIAM Journal on Scientific Computing 46 (1), A204-A231