Wang Chi Cheung

Orcid: 0000-0001-9380-5673

According to our database1, Wang Chi Cheung authored at least 28 papers between 2011 and 2024.

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Bibliography

2024
Best Arm Identification with Resource Constraints.
CoRR, 2024

2023
Nonstationary Reinforcement Learning: The Blessing of (More) Optimism.
Manag. Sci., October, 2023

Non-Stationary Bandits with Knapsack Problems with Advice.
CoRR, 2023

Bandits with Knapsacks: Advice on Time-Varying Demands.
Proceedings of the International Conference on Machine Learning, 2023

Online Stochastic Allocation of Reusable Resources.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Hedging the Drift: Learning to Optimize Under Nonstationarity.
Manag. Sci., 2022

Inventory Balancing with Online Learning.
Manag. Sci., 2022

2021
On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits.
CoRR, 2021

Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting.
Proceedings of the 37th International Conference on Machine Learning, 2020

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models.
Math. Oper. Res., 2019

Capacity Allocation in Flexible Production Networks: Theory and Applications.
Manag. Sci., 2019

Reinforcement Learning under Drift.
CoRR, 2019

Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards.
CoRR, 2019

Hedging the Drift: Learning to Optimize under Non-Stationarity.
CoRR, 2019

Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Thompson Sampling Algorithm for Cascading Bandits.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning to Optimize under Non-Stationarity.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Thompson Sampling for Cascading Bandits.
CoRR, 2018

2017
Technical Note - Dynamic Pricing and Demand Learning with Limited Price Experimentation.
Oper. Res., 2017

Assortment Optimization under Unknown MultiNomial Logit Choice Models.
CoRR, 2017

2014
Improved Algorithms for Vertex Cover with Hard Capacities on Multigraphs and Hypergraphs.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

2012
Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks.
IEEE J. Sel. Areas Commun., 2012

Access control and cell association in two-tier femtocell networks.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Spectrum allocation and optimization in femtocell networks.
Proceedings of IEEE International Conference on Communications, 2012

2011
Stochastic analysis of two-tier networks: Effect of spectrum allocation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Energy Efficiency Analysis of Two-Tier Heterogeneous Networks.
Proceedings of the European Wireless 2011, April 27-29, 2011, Vienna, Austria., 2011


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