| Throughput optimization, spectrum allocation, and access control in two-tier femtocell networks WC Cheung, TQS Quek, M Kountouris IEEE Journal on Selected Areas in Communications 30 (3), 561-574, 2012 | 451 | 2012 |
| Learning to optimize under non-stationarity WC Cheung, D Simchi-Levi, R Zhu The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 229* | 2019 |
| Dynamic pricing and demand learning with limited price experimentation WC Cheung, D Simchi-Levi, H Wang Operations Research 65 (6), 1722-1731, 2017 | 198 | 2017 |
| Reinforcement learning for non-stationary markov decision processes: The blessing of (more) optimism WC Cheung, D Simchi-Levi, R Zhu International conference on machine learning, 1843-1854, 2020 | 109 | 2020 |
| Energy efficiency analysis of two-tier heterogeneous networks TQS Quek, WC Cheung, M Kountouris 17th European Wireless 2011-Sustainable Wireless Technologies, 1-5, 2011 | 103 | 2011 |
| Perfect state transfer in cubelike graphs WC Cheung, C Godsil Linear Algebra and Its Applications 435 (10), 2468-2474, 2011 | 96 | 2011 |
| Assortment optimization under unknown multinomial logit choice models WC Cheung, D Simchi-Levi arXiv preprint arXiv:1704.00108, 2017 | 83 | 2017 |
| Sampling-based approximation schemes for capacitated stochastic inventory control models WC Cheung, D Simchi-Levi Mathematics of Operations Research 44 (2), 668-692, 2019 | 63 | 2019 |
| Multi-objective online ride-matching G Lyu, WC Cheung, CP Teo, H Wang Available at SSRN 3356823, 2019 | 63 | 2019 |
| Capacity allocation in flexible production networks: Theory and applications G Lyu, WC Cheung, MC Chou, CP Teo, Z Zheng, Y Zhong Management Science 65 (11), 5091-5109, 2019 | 46 | 2019 |
| Nonstationary reinforcement learning: The blessing of (more) optimism WC Cheung, D Simchi-Levi, R Zhu Management Science 69 (10), 5722-5739, 2023 | 43 | 2023 |
| A Thompson sampling algorithm for cascading bandits WC Cheung, V Tan, Z Zhong The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 36 | 2019 |
| Regret minimization for reinforcement learning with vectorial feedback and complex objectives WC Cheung Advances in Neural Information Processing Systems 32, 2019 | 34 | 2019 |
| Reinforcement Learning Under Drift WC Cheung, D Simchi-Levi, R Zhu https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3397818, 2019 | 31* | 2019 |
| Inventory balancing with online learning WC Cheung, W Ma, D Simchi-Levi, X Wang Management Science 68 (3), 1776-1807, 2022 | 28 | 2022 |
| Improved algorithms for vertex cover with hard capacities on multigraphs and hypergraphs WC Cheung, MX Goemans, SC Wong Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete …, 2014 | 24 | 2014 |
| Stochastic analysis of two-tier networks: Effect of spectrum allocation WC Cheung, TQS Quek, M Kountouris 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 22 | 2011 |
| Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards WC Cheung https://arxiv.org/abs/1905.06466, 2019 | 21 | 2019 |
| Efficiency and performance guarantees for choice-based network revenue management problems with flexible products WC Cheung, D Simchi-Levi Available at SSRN 2823339, 2016 | 20 | 2016 |
| Probabilistic sequential shrinking: A best arm identification algorithm for stochastic bandits with corruptions Z Zhong, WC Cheung, V Tan International Conference on Machine Learning, 12772-12781, 2021 | 15 | 2021 |
David Simchi-LeviProfessor of Engineering Systems at MITVerified email at mit.edu
