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Xuezhou Zhang
Xuezhou Zhang
Princeton University
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Title
Cited by
Cited by
Year
Neural additive models: Interpretable machine learning with neural nets
R Agarwal, L Melnick, N Frosst, X Zhang, B Lengerich, R Caruana, ...
Advances in Neural Information Processing Systems 34, 2021
1002021
Online Data Poisoning Attack
X Zhang, L Lessard, X Zhu
Learning for Dynamics and Control, 2020, 2019
65*2019
Policy poisoning in batch reinforcement learning and control
Y Ma, X Zhang, W Sun, X Zhu
NIPS 2019, 2019
542019
Training set debugging using trusted items
X Zhang, X Zhu, SJ Wright
AAAI 2018, 2018
502018
Adaptive reward-poisoning attacks against reinforcement learning
X Zhang, Y Ma, A Singla, X Zhu
International Conference on Machine Learning, 11225-11234, 2020
432020
Axiomatic Interpretability for Multiclass Additive Models.
X Zhang, S Tan, P Koch, U Chajewska, R Caruana
KDD 2019, 2019
26*2019
An Optimal Control Approach to Sequential Machine Teaching
L Lessard, X Zhang, X Zhu
AISTATS 2019, 2019
242019
Task-agnostic exploration in reinforcement learning
X Zhang, A Singla
NIPS 2020, 2020
192020
Robust policy gradient against strong data corruption
X Zhang, Y Chen, X Zhu, W Sun
International Conference on Machine Learning, 12391-12401, 2021
122021
Teacher Improves Learning by Selecting a Training Subset
Y Ma, R Nowak, P Rigollet, X Zhang, X Zhu
AISTATS 2018, 2018
112018
Corruption-robust offline reinforcement learning
X Zhang, Y Chen, X Zhu, W Sun
International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022
92022
Representation Learning for Online and Offline RL in Low-rank MDPs
M Uehara, X Zhang, W Sun
92021
Controllable and Diverse Text Generation in E-commerce
H Shao, J Wang, H Lin, X Zhang, A Zhang, H Ji, T Abdelzaher
Proceedings of the Web Conference 2021, 2392-2401, 2021
72021
Reward poisoning in reinforcement learning: Attacks against unknown learners in unknown environments
A Rakhsha, X Zhang, X Zhu, A Singla
arXiv preprint arXiv:2102.08492, 2021
72021
Using machine teaching to investigate human assumptions when teaching reinforcement learners
YS Chuang, X Zhang, Y Ma, MK Ho, JL Austerweil, X Zhu
arXiv preprint arXiv:2009.02476, 2020
52020
Training set camouflage
A Sen, S Alfeld, X Zhang, A Vartanian, Y Ma, X Zhu.
Conference on Decision and Game Theory for Security (GameSec), 2018., 2018
42018
The Sample Complexity of Teaching-by-Reinforcement on Q-Learning
X Zhang, SK Bharti, Y Ma, A Singla, X Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10939 …, 2021
32021
The Teaching Dimension of Q-learning
X Zhang, SK Bharti, Y Ma, A Singla, X Zhu
AAAI 2021, 2020
32020
Efficient reinforcement learning in block mdps: A model-free representation learning approach
X Zhang, Y Song, M Uehara, M Wang, W Sun, A Agarwal
arXiv preprint arXiv:2202.00063, 2022
22022
Optimal Teaching for Online Perceptrons
X Zhang, OH Gorune, A Sen, S Alfeld, X Zhu
NIPS 2016, CML workshop, 2016
1*2016
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