Wang Chi Cheung

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Inventory Control

Reinforcement Learning

Markov Decision Processes

Regret Minimization

Top Venues

Publications

Guodong Lyu, Wang Chi Cheung, Chung-Piaw Teo, Hai Wang
Multiobjective Stochastic Optimization: A Case of Real-Time Matching in Ride-Sourcing Markets. Manuf. Serv. Oper. Manag. 26 (2) (2024)
Zitian Li, Wang Chi Cheung
Best Arm Identification with Resource Constraints. CoRR (2024)
Zitian Li, Wang Chi Cheung
Best Arm Identification with Resource Constraints. AISTATS (2024)
Wang Chi Cheung, Lixing Lyu
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data. CoRR (2024)
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)
Lixing Lyu, Wang Chi Cheung
Bandits with Knapsacks: Advice on Time-Varying Demands. ICML (2023)
Xilin Zhang, Wang Chi Cheung
Online Stochastic Allocation of Reusable Resources. CDC (2023)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. Manag. Sci. 69 (10) (2023)
Lixing Lyu, Wang Chi Cheung
Non-Stationary Bandits with Knapsack Problems with Advice. CoRR (2023)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Hedging the Drift: Learning to Optimize Under Nonstationarity. Manag. Sci. 68 (3) (2022)
Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang
Inventory Balancing with Online Learning. Manag. Sci. 68 (3) (2022)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits. CoRR (2021)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. ICML (2021)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML (2020)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting. ICML (2020)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. CoRR (2020)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning under Drift. CoRR (2019)
Wang Chi Cheung
Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards. CoRR (2019)
Wang Chi Cheung, David Simchi-Levi
Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Math. Oper. Res. 44 (2) (2019)
Guodong Lyu, Wang Chi Cheung, Mabel C. Chou, Chung-Piaw Teo, Zhichao Zheng, Yuanguang Zhong
Capacity Allocation in Flexible Production Networks: Theory and Applications. Manag. Sci. 65 (11) (2019)
Wang Chi Cheung
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives. NeurIPS (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Optimize under Non-Stationarity. AISTATS (2019)
Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong
A Thompson Sampling Algorithm for Cascading Bandits. AISTATS (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Hedging the Drift: Learning to Optimize under Non-Stationarity. CoRR (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Optimize under Non-Stationarity. CoRR (2018)
Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang
Inventory Balancing with Online Learning. CoRR (2018)
Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong
Thompson Sampling for Cascading Bandits. CoRR (2018)
Wang Chi Cheung, David Simchi-Levi
Assortment Optimization under Unknown MultiNomial Logit Choice Models. CoRR (2017)
Wang Chi Cheung, David Simchi-Levi, He Wang
Technical Note - Dynamic Pricing and Demand Learning with Limited Price Experimentation. Oper. Res. 65 (6) (2017)
Wang Chi Cheung, Michel X. Goemans, Sam Chiu-wai Wong
Improved Algorithms for Vertex Cover with Hard Capacities on Multigraphs and Hypergraphs. SODA (2014)
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouris
Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks. IEEE J. Sel. Areas Commun. 30 (3) (2012)
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouris
Spectrum allocation and optimization in femtocell networks. ICC (2012)
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouris
Access control and cell association in two-tier femtocell networks. WCNC (2012)
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouris
Stochastic analysis of two-tier networks: Effect of spectrum allocation. ICASSP (2011)
Tony Q. S. Quek, Wang Chi Cheung, Marios Kountouris
Energy Efficiency Analysis of Two-Tier Heterogeneous Networks. EW (2011)