Zhi Xu
Title
Cited by
Cited by
Year
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Y Yang, G Zhang, D Katabi, Z Xu
International Conference on Machine Learning (ICML), 2019
742019
On a modified DeGroot-Friedkin model of opinion dynamics
Z Xu, J Liu, T Başar
2015 American Control Conference (ACC), 1047-1052, 2015
532015
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Y Yang, Z Xu
Neural Information Processing Systems (NeurIPS), 2020
512020
Distributed evaluation and convergence of self-appraisals in social networks
X Chen, J Liu, MA Belabbas, Z Xu, T Başar
IEEE Transactions on Automatic Control 62 (1), 291-304, 2016
332016
Private sequential learning
JN Tsitsiklis, K Xu, Z Xu
Conference on Learning Theory (COLT); Forthcoming in Operations Research, 2018
152018
On reinforcement learning using Monte Carlo tree search with supervised learning: Non-asymptotic analysis
D Shah, Q Xie, Z Xu
arXiv preprint arXiv:1902.05213, 2019
102019
Non-Asymptotic Analysis of Monte Carlo Tree Search
D Shah, Q Xie, Z Xu
ACM SIGMETRICS 2020, 2020
82020
Competition over epidemic networks: Nash and Stackelberg games
Z Xu, A Khanafer, T Başar
2015 American Control Conference (ACC), 2063-2068, 2015
82015
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Y Yang, G Zhang, Z Xu, D Katabi
International Conference on Learning Representations (ICLR), 2019
72019
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
D Shah, D Song, Z Xu, Y Yang
Neural Information Processing Systems (NeurIPS), 2020
52020
On Reinforcement Learning for Turn-based Zero-sum Markov Games
D Shah, V Somani, Q Xie, Z Xu
arXiv preprint arXiv:2002.10620, 2020
42020
Stable Reinforcement Learning with Unbounded State Space
D Shah, Q Xie, Z Xu
arXiv preprint arXiv:2006.04353, 2020
32020
Robust GANs against dishonest adversaries
Z Xu, C Li, S Jegelka
arXiv preprint arXiv:1802.09700, 2018
22018
Private sequential search and optimization
Z Xu
Massachusetts Institute of Technology, 2017
22017
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
A Agarwal, A Alomar, V Alumootil, D Shah, D Shen, Z Xu, C Yang
Neural Information Processing Systems (NeurIPS), 2021
2021
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Articles 1–15