Research

Selected submitted/working papers

Online Order Fulfillment with Replenishment,
Zi (Elaine) Ling, Jiashuo Jiang, Linwei Xin [Paper]
Decentralized Multi-product Pricing: Diagonal Dominance, Nash Equilibrium, and Price of Anarchy,
Boxiao Chen, Jiashuo Jiang, Stefanus Jasin [Paper]
Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control,
Yaqi Duan, Yichun Hu, Jiashuo Jiang [Paper]
An LP-Based Approach for Bilinear Saddle Point Problem with Instance-dependent Guarantee and Noisy Feedback,
Jiashuo Jiang, Mengxiao Zhang [Paper]
Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates,
Congyuan Duan, Wanteng Ma, Jiashuo Jiang, Dong Xia [Paper]
Instance-dependent Sample Complexity for Constrained Markov Decision Process,
Jiashuo Jiang, Yinyu Ye [Paper]
High-dimensional Linear Bandits with Knapsacks,
Wanteng Ma, Dong Xia, Jiashuo Jiang [Paper]
Capacity Configuration in Non-Stationary Environments: The Operational Value of Volume Flexibility and Prediction,
Piao Hu, Jiashuo Jiang, Guodong Lyu, Hao Su [Paper]
Constant Approximation for Network Revenue Management with Markovian-correlated Customer Arrivals,
Jiashuo Jiang [Paper]
Online Resource Allocation with Stochastic Resource Consumption,
Jiashuo Jiang, Jiawei Zhang [Paper]

Efficiently Solving Discounted MDPs with Predictions on Transition Matrices,
Lixing Lyu, Jiashuo Jiang, Wang Chi Cheung [Paper]
The 43rd International Conference on Machine Learning (ICML 2026).

Learning to Price with Resource Constraints: From Full Information to Machine-learned Prices,
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi [Paper]
The 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
Constant Approximation for Network Revenue Management with Markovian-correlated Customer Arrivals,
Jiashuo Jiang [Paper]
The 21st Conference on Web and Internet Economics (WINE 2025).
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control,
Zifan Liu, Xinran Li, Shibo Chen, Gen Li, Jiashuo Jiang, Jun Zhang [Paper]
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025).
Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions,
Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
Operations Research, 2025.
Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities,
Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
Mathematics of Operations Research, 2025.

Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process,
Jiashuo Jiang, Yinyu Ye [Paper]
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
Online Scheduling for LLM Inference with KV Cache Constraints,
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou [Paper]
NeurIPS 2024 Workshop on Statistical Frontiers in LLMs and Foundation Models.
High-dimensional Linear Bandits with Knapsacks,
Wanteng Ma, Dong Xia, Jiashuo Jiang [Paper]
The 41st International Conference on Machine Learning (ICML 2024).
Online Stochastic Optimization with Wasserstein Based Non-stationarity,
Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang [Paper]
Management Science, 2024.
Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack,
Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
Operations Research, 2024.

Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities,
Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
The 24th ACM Conference on Economics and Computation (EC 2023).
Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies
Boxiao Chen, Jiashuo Jiang, Jiawei Zhang, Zhengyuan Zhou [Paper]
Management Science, 2023.

Achieving High Individual Service-Levels without Safety Stock? Optimal Rationing Policy of Pooled Resources
Jiashuo Jiang, Shixin Wang, Jiawei Zhang [Paper]
Operations Research, 2022.
Non-stationary Bandits with Knapsacks,
Shang Liu, Jiashuo Jiang, Xiaocheng Li [Paper]
The 36th Conference on Neural Information Processing Systems (NeurIPS 2022).
Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack,
Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
ACM-SIAM Symposium on Discrete Algorithms (SODA 2022).