Papers

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Preprints

• Decision-dependent Robust Charging Infrastructure Planning for Light-duty Truck Electrification at Industrial Sites: Scheduling and Abandonment [arXiv]
  Y. Ding, R. Ao, P. Duenas-Martinez, T. Magnanti, arXiv preprint arXiv:2510.13100

• PILOT-Bench: Probabilistic Interaction for LLM Operations in Tool-driven Scenarios
  R. Ao, Z. Min, T. Zhu, X. Wang, W. Yin, upcoming in arXiv

• Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints [SSRN]
  R. Ao, G. Luo, D. Simchi-Levi, X. Wang, available on SSRN, finalist in Applied Probability 2025 Student Paper Award

• 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

• 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