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Ruihao Zhu
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Learning to optimize under non-stationarity
WC Cheung, D Simchi-Levi, R Zhu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
982019
Hedging the drift: Learning to optimize under nonstationarity
WC Cheung, D Simchi-Levi, R Zhu
Management Science 68 (3), 1696-1713, 2022
712022
Meta dynamic pricing: Transfer learning across experiments
H Bastani, D Simchi-Levi, R Zhu
Management Science 68 (3), 1865-1881, 2022
612022
Differentially private spectrum auction with approximate revenue maximization
R Zhu, Z Li, F Wu, K Shin, G Chen
Proceedings of the 15th ACM international symposium on mobile ad hoc …, 2014
612014
Differentially private and strategy-proof spectrum auction with approximate revenue maximization
R Zhu, KG Shin
2015 IEEE conference on computer communications (INFOCOM), 918-926, 2015
522015
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
512020
Coresets for Differentially Private K-means Clustering and Applications to Privacy in Mobile Sensor Networks
D Feldman, C Xiang, R Zhu, D Rus
Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017
492017
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism
WC Cheung, D Simchi-Levi, R Zhu
arXiv preprint arXiv:1906.02922, 2019
31*2019
Threshold Bandits, With and Without Censored Feedback
J Abernethy, K Amin, R Zhu
Advances In Neural Information Processing Systems, 4889-4897, 2016
242016
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
W Mao, K Zhang, R Zhu, D Simchi-Levi, T Basar
International Conference on Machine Learning, 7447-7458, 2021
17*2021
Model-free non-stationary rl: Near-optimal regret and applications in multi-agent rl and inventory control
W Mao, K Zhang, R Zhu, D Simchi-Levi, T Bașar
arXiv preprint arXiv:2010.03161, 2020
7*2020
STAMP: A Strategy-proof Approximation auction Mechanism for Spatially reusable Items in wireless networks
R Zhu, F Wu, G Chen
Global Communications Conference (GLOBECOM), 2013 IEEE, 3048-3053, 2013
72013
Learning to route efficiently with end-to-end feedback: The value of networked structure
R Zhu, E Modiano
arXiv preprint arXiv:1810.10637, 2018
42018
Joint patient selection and scheduling under no‐shows: Theory and application in proton therapy
S Saghafian, N Trichakis, R Zhu, HA Shih
Production and Operations Management, 2022
32022
Safe optimal design with applications in off-policy learning
R Zhu, B Kveton
International Conference on Artificial Intelligence and Statistics, 2436-2447, 2022
32022
Safe Data Collection for Offline and Online Policy Learning
R Zhu, B Kveton
arXiv preprint arXiv:2111.04835, 2021
3*2021
SAFE: A strategy-proof auction mechanism for multi-radio, multi-channel spectrum allocation
R Zhu, F Wu, G Chen
Wireless Algorithms, Systems, and Applications: 8th International Conference …, 2013
32013
Provably sample-efficient inventory control
H Qin, D Simchi-Levi, R Zhu
Proceedings of Machine Learning Research vol 144, 1-22, 2022
22022
Calibrating sales forecast in a pandemic using competitive online non-parametric regression
D Simchi-Levi, R Sun, MX Wu, R Zhu
Available at SSRN 3670264, 2020
22020
Learning to price supply chain contracts against a learning retailer
X Zhao, R Zhu, WB Haskell
arXiv preprint arXiv:2211.04586, 2022
12022
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