Xuezhou (Jack) Zhang
Xuezhou (Jack) Zhang
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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, 4699-4711, 2021
Online Data Poisoning Attack
X Zhang, L Lessard, X Zhu
Learning for Dynamics and Control, 2020, 2019
Policy poisoning in batch reinforcement learning and control
Y Ma, X Zhang, W Sun, X Zhu
NIPS 2019, 2019
Training set debugging using trusted items
X Zhang, X Zhu, SJ Wright
AAAI 2018, 2018
Adaptive reward-poisoning attacks against reinforcement learning
X Zhang, Y Ma, A Singla, X Zhu
International Conference on Machine Learning, 11225-11234, 2020
Axiomatic Interpretability for Multiclass Additive Models.
X Zhang, S Tan, P Koch, U Chajewska, R Caruana
KDD 2019, 2019
Representation Learning for Online and Offline RL in Low-rank MDPs
M Uehara, X Zhang, W Sun
Task-agnostic exploration in reinforcement learning
X Zhang, A Singla
NIPS 2020, 2020
An Optimal Control Approach to Sequential Machine Teaching
L Lessard, X Zhang, X Zhu
AISTATS 2019, 2019
Robust policy gradient against strong data corruption
X Zhang, Y Chen, X Zhu, W Sun
International Conference on Machine Learning, 12391-12401, 2021
Corruption-robust offline reinforcement learning
X Zhang, Y Chen, X Zhu, W Sun
International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022
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
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
Teacher Improves Learning by Selecting a Training Subset
Y Ma, R Nowak, P Rigollet, X Zhang, X Zhu
AISTATS 2018, 2018
The sample complexity of teaching by reinforcement on q-learning
X Zhang, S Bharti, Y Ma, A Singla, X Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10939 …, 2021
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
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
Efficient reinforcement learning in block mdps: A model-free representation learning approach
X Zhang, Y Song, M Uehara, M Wang, A Agarwal, W Sun
International Conference on Machine Learning, 26517-26547, 2022
Provable Benefits of Representational Transfer in Reinforcement Learning
A Agarwal, Y Song, W Sun, K Wang, M Wang, X Zhang
arXiv preprint arXiv:2205.14571, 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
R Zhang, X Zhang, C Ni, M Wang
arXiv preprint arXiv:2202.04970, 2022
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