Follow
Jiashuo Jiang
Title
Cited by
Cited by
Year
Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack∗
J Jiang, W Ma, J Zhang
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022
332022
Online stochastic optimization with wasserstein based non-stationarity
J Jiang, X Li, J Zhang
arXiv preprint arXiv:2012.06961, 2020
322020
Achieving high individual service-levels without safety stock? optimal rationing policy of pooled resources
J Jiang, S Wang, J Zhang
Operations Research 71 (1), 358-377, 2023
262023
Non-stationary Bandits with Knapsacks
S Liu, J Jiang, X Li
Advances in Neural Information Processing Systems, 2022
162022
Learning to order for inventory systems with lost sales and uncertain supplies
B Chen, J Jiang, J Zhang, Z Zhou
Management Science, 2024
122024
Online resource allocation with stochastic resource consumption
J Jiang, J Zhang
arXiv preprint arXiv:2012.07933, 2020
102020
Degeneracy is ok: Logarithmic regret for network revenue management with indiscrete distributions
J Jiang, W Ma, J Zhang
arXiv preprint arXiv:2210.07996, 2022
82022
Tightness without counterexamples: A new approach and new results for prophet inequalities
J Jiang, W Ma, J Zhang
arXiv preprint arXiv:2205.00588, 2022
72022
Constant approximation for network revenue management with Markovian-correlated customer arrivals
J Jiang
arXiv preprint arXiv:2305.05829, 2023
32023
Constrained online two-stage stochastic optimization: Algorithm with (and without) predictions
P Hu, J Jiang, G Lyu, H Su
arXiv preprint arXiv:2401.01077, 2024
12024
High-dimensional Linear Bandits with Knapsacks
W Ma, D Xia, J Jiang
arXiv preprint arXiv:2311.01327, 2023
12023
Achieving Sample Complexity for Constrained Markov Decision Process
J Jiang, Y Ye
arXiv preprint arXiv:2402.16324, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–12