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Kuang Xu (许匡)
Kuang Xu (许匡)
Associate Professor, Stanford Graduate School of Business
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
On the power of (even a little) resource pooling
JN Tsitsiklis, K Xu
Stochastic Systems 2 (1), 1-66, 2013
141*2013
Using future information to reduce waiting times in the emergency department via diversion
K Xu, CW Chan
Manufacturing & Service Operations Management 18 (3), 314 - 331, 2016
942016
Flexible queueing architectures
JN Tsitsiklis, K Xu
Operations Research 65 (5), 1398-1413, 2017
83*2017
Queueing with future information
J Spencer, M Sudan, K Xu
Annals of Applied Probability 24 (5), 2091-2142, 2014
392014
Experimenting in equilibrium
S Wager, K Xu
Management Science; arXiv:1903.02124, 2021
312021
On the capacity of information processing systems
L Massoulie, K Xu
Operations Research 66 (2), 568 - 586, 2018
272018
Necessity of future information in admission control
K Xu
Operations Research 63 (5), 1213-1226, 2015
26*2015
The optimal admission threshold in observable queues with state dependent pricing
C Borgs, JT Chayes, S Doroudi, M Harchol-Balter, K Xu
Probability in the Engineering and Informational Sciences 28 (1), 101-119, 2014
252014
PAPR reduction for beamforming OFDM via constellation-beam modification
K Xu, DL Jones
2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009
23*2009
Private sequential learning
JN Tsitsiklis, K Xu, Z Xu
Operations Research; Conference on Learning Theory (COLT) 69 (5), 1575-1590, 2021
202021
Diffusion asymptotics for sequential experiments
S Wager, K Xu
arXiv preprint arXiv:2101.09855, 2021
202021
No detectable surge in SARS-CoV-2 transmission attributable to the April 7, 2020 Wisconsin election
K Leung, JT Wu, K Xu, LM Wein
American Journal of Public Health 110 (8), 1169-1170, 2020
192020
Delay-Predictability trade-offs in reaching a secret goal
JN Tsitsiklis, K Xu
Operations Research 66 (2), 587-596, 2018
192018
Query complexity of bayesian private learning
K Xu
Proceedings of the 32nd International Conference on Neural Information …, 2018
132018
Reinforcement with fading memories
K Xu, SY Yun
Mathematics of Operations Research 45 (4), 1193-1620; arXiv:1907.12227, 2020
122020
Optimal query complexity for private sequential learning against eavesdropping
J Xu, K Xu, D Yang
International Conference on Artificial Intelligence and Statistics, 2296-2304, 2021
112021
Treatment effects in market equilibrium
E Munro, S Wager, K Xu
arXiv preprint arXiv:2109.11647, 2021
102021
Anonymous stochastic routing
MS Erturk, K Xu
Stochastic Systems; arXiv:1911.08875, 2022
7*2022
Learning and Information in Stochastic Networks and Queues
N Walton, K Xu
INFORMS TutORials in Operations Research, 161-198, 2021
72021
On the power of (even a little) flexibility in dynamic resource allocation
K Xu
Massachusetts Institute of Technology, 2014
72014
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