Research

Selected working papers

Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates,
Congyuan Duan, Wanteng Ma, Jiashuo Jiang, Dong Xia [Paper]
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]
Instance-dependent Sample Complexity for Constrained Markov Decision Process,
Jiashuo Jiang, Yinyu Ye [Paper]
Constrained Online Two-stage Stochastic Optimization: Algorithms with (and without) Predictions,
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]

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.

Scheduling in LLM Inference with Blowed-up Memory Constraints,
Zijie Zhou, Jiashuo Jiang, Patrick Jaillet, Chara Podimata
NeurIPS 2024 Workshop on Statistical Frontiers of LLM and Foundation Models.
Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process,
Jiashuo Jiang, Yinyu Ye [Paper]
Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024).
High-dimensional Linear Bandits with Knapsacks,
Wanteng Ma, Dong Xia, Jiashuo Jiang [Paper]
2024 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.
Finalist for the George Nicholson Student Paper Competition
Finalist for the Jeff McGill Student Paper Competition

Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities,
Jiashuo Jiang, Will Ma, Jiawei Zhang [Paper]
The Twenty-Fourth 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]
Thirty-sixth 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) [Link].