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Wang Chi Cheung
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2020 – today
- 2024
- [j9]Guodong Lyu
, Wang Chi Cheung
Multiobjective Stochastic Optimization: A Case of Real-Time Matching in Ride-Sourcing Markets. Manuf. Serv. Oper. Manag. 26(2): 500-518 (2024) - [c15]Zitian Li, Wang Chi Cheung:
Best Arm Identification with Resource Constraints. AISTATS 2024: 253-261 - [c14]Wang Chi Cheung, Lixing Lyu:
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data. ICML 2024 - [i14]Zitian Li, Wang Chi Cheung:
Best Arm Identification with Resource Constraints. CoRR abs/2402.19090 (2024) - [i13]Wang Chi Cheung, Lixing Lyu:
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data. CoRR abs/2405.02594 (2024) - 2023
- [j8]Wang Chi Cheung
Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. Manag. Sci. 69(10): 5722-5739 (2023) - [j7]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits. Trans. Mach. Learn. Res. 2023 (2023) - [c13]Xilin Zhang, Wang Chi Cheung:
Online Stochastic Allocation of Reusable Resources. CDC 2023: 4620-4625 - [c12]Lixing Lyu, Wang Chi Cheung:
Bandits with Knapsacks: Advice on Time-Varying Demands. ICML 2023: 23212-23238 - [i12]Lixing Lyu, Wang Chi Cheung:
Non-Stationary Bandits with Knapsack Problems with Advice. CoRR abs/2302.04182 (2023) - 2022
- [j6]Wang Chi Cheung
Hedging the Drift: Learning to Optimize Under Nonstationarity. Manag. Sci. 68(3): 1696-1713 (2022) - [j5]Wang Chi Cheung
Inventory Balancing with Online Learning. Manag. Sci. 68(3): 1776-1807 (2022) - 2021
- [c11]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. ICML 2021: 12772-12781 - [i11]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits. CoRR abs/2110.08627 (2021) - 2020
- [c10]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020: 1843-1854 - [c9]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting. ICML 2020: 11481-11491 - [i10]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting. CoRR abs/2001.08655 (2020) - [i9]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. CoRR abs/2006.14389 (2020) - [i8]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. CoRR abs/2010.07904 (2020)
2010 – 2019
- 2019
- [j4]Guodong Lyu
Capacity Allocation in Flexible Production Networks: Theory and Applications. Manag. Sci. 65(11): 5091-5109 (2019) - [j3]Wang Chi Cheung
Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Math. Oper. Res. 44(2): 668-692 (2019) - [c8]Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong:
A Thompson Sampling Algorithm for Cascading Bandits. AISTATS 2019: 438-447 - [c7]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Learning to Optimize under Non-Stationarity. AISTATS 2019: 1079-1087 - [c6]Wang Chi Cheung:
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives. NeurIPS 2019: 724-734 - [i7]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Hedging the Drift: Learning to Optimize under Non-Stationarity. CoRR abs/1903.01461 (2019) - [i6]Wang Chi Cheung:
Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards. CoRR abs/1905.06466 (2019) - [i5]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Reinforcement Learning under Drift. CoRR abs/1906.02922 (2019) - 2018
- [i4]Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong:
Thompson Sampling for Cascading Bandits. CoRR abs/1810.01187 (2018) - [i3]Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Learning to Optimize under Non-Stationarity. CoRR abs/1810.03024 (2018) - [i2]Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang:
Inventory Balancing with Online Learning. CoRR abs/1810.05640 (2018) - 2017
- [j2]Wang Chi Cheung, David Simchi-Levi, He Wang:
Technical Note - Dynamic Pricing and Demand Learning with Limited Price Experimentation. Oper. Res. 65(6): 1722-1731 (2017) - [i1]Wang Chi Cheung, David Simchi-Levi:
Assortment Optimization under Unknown MultiNomial Logit Choice Models. CoRR abs/1704.00108 (2017) - 2014
- [c5]Wang Chi Cheung, Michel X. Goemans, Sam Chiu-wai Wong:
Improved Algorithms for Vertex Cover with Hard Capacities on Multigraphs and Hypergraphs. SODA 2014: 1714-1726 - 2012
- [j1]Wang Chi Cheung, Tony Q. S. Quek
Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks. IEEE J. Sel. Areas Commun. 30(3): 561-574 (2012) - [c4]Wang Chi Cheung, Tony Q. S. Quek
Spectrum allocation and optimization in femtocell networks. ICC 2012: 2473-2478 - [c3]Wang Chi Cheung, Tony Q. S. Quek
Access control and cell association in two-tier femtocell networks. WCNC 2012: 893-897 - 2011
- [c2]Tony Q. S. Quek, Wang Chi Cheung, Marios Kountouris:
Energy Efficiency Analysis of Two-Tier Heterogeneous Networks. EW 2011 - [c1]Wang Chi Cheung, Tony Q. S. Quek
Stochastic analysis of two-tier networks: Effect of spectrum allocation. ICASSP 2011: 2964-2967
Coauthor Index
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