Papers

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Selected Preprints

• Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints [SSRN]
  R. Ao, G. Luo, D. Simchi-Levi, X. Wang, major revision at Operations Research, finalist in Applied Probability 2025 Student Paper Award and POMS CSOM 2026 Best Student Paper Competition

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

• Online Resource Allocation with Average Budget Constraints [arXiv]
  R. Ao, H. Chen, D. Simchi-Levi, F.Zhu, major revision at Operations Research, finalist in Revenue Management and Pricing 2024 Jeff McGill Student Paper Award

Conference Proceedings

• PILOT-Bench: Probabilistic Interaction for LLM Operations in Tool-driven Scenarios
  R. Ao, Z. Min, T. Zhu, X. Wang, W. Yin, International Conference on Learning Representations (ICLR), 2026

• Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices [arXiv]
  R. Ao, J. Jiang, D. Simchi-Levi, Conference on Neural Information Processing Systems (Neurips), 2025

• 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

• A Monte Carlo Policy Gradient Method with Local Search for Binary Optimization [arXiv]
  C. Chen, R. Chen, T. Li, R. Ao, Z. Wen, Mathematical Programming, 1-57

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