Jiashuo Jiang

According to our database, Jiashuo Jiang authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue Stability.

Wenhan Xu, Jiashuo Jiang, Lei Deng, Danny Hin-Kwok Tsang

CoRR, June, 2025

Adaptive Resolving Methods for Reinforcement Learning with Function Approximations.

Jiashuo Jiang, Yiming Zong, Yinyu Ye

CoRR, May, 2025

Adaptive Bidding Policies for First-Price Auctions with Budget Constraints under Non-stationarity.

Yige Wang, Jiashuo Jiang

CoRR, May, 2025

Efficiently Solving Discounted MDPs with Predictions on Transition Matrices.

Lixing Lyu, Jiashuo Jiang, Wang Chi Cheung

CoRR, February, 2025

Joint Pricing and Resource Allocation: An Optimal Online-Learning Approach.

Jianyu Xu, Xuan Wang, Yu-Xiang Wang, Jiashuo Jiang

CoRR, January, 2025

Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices.

Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

CoRR, January, 2025

Tight Guarantees for Multiunit Prophet Inequalities and Online Stochastic Knapsack.

Jiashuo Jiang, Will Ma, Jiawei Zhang

Oper. Res., 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies.

Boxiao Chen, Jiashuo Jiang, Jiawei Zhang, Zhengyuan Zhou

Manag. Sci., 2024

Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates.

Congyuan Duan, Wanteng Ma, Jiashuo Jiang, Dong Xia

CoRR, 2024

Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions.

Piao Hu, Jiashuo Jiang, Guodong Lyu, Hao Su

CoRR, 2024

Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process.

Jiashuo Jiang, Yinyu Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

High-dimensional Linear Bandits with Knapsacks.

Wanteng Ma, Dong Xia, Jiashuo Jiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Achieving High Individual Service Levels Without Safety Stock? Optimal Rationing Policy of Pooled Resources.

Jiashuo Jiang, Shixin Wang, Jiawei Zhang

Oper. Res., January, 2023

Constant Approximation for Network Revenue Management with Markovian-Correlated Customer Arrivals.

Jiashuo Jiang

CoRR, 2023

Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities.

Jiashuo Jiang, Will Ma, Jiawei Zhang

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

2022

Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions.

Jiashuo Jiang, Will Ma, Jiawei Zhang

CoRR, 2022

Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack.

Jiashuo Jiang, Will Ma, Jiawei Zhang

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Non-stationary Bandits with Knapsacks.

Shang Liu, Jiashuo Jiang, Xiaocheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Online Stochastic Optimization with Wasserstein Based Non-stationarity.

Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang

CoRR, 2020