Követés
Xuezhou Zhang
Xuezhou Zhang
Boston University
E-mail megerősítve itt: bu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
5502021
Representation Learning for Online and Offline RL in Low-rank MDPs
M Uehara, X Zhang, W Sun
ICLR 2021, 2021
1652021
Adaptive reward-poisoning attacks against reinforcement learning
X Zhang, Y Ma, A Singla, X Zhu
International Conference on Machine Learning, 11225-11234, 2020
1592020
Policy poisoning in batch reinforcement learning and control
Y Ma, X Zhang, W Sun, X Zhu
NIPS 2019, 2019
1312019
Online Data Poisoning Attack
X Zhang, L Lessard, X Zhu
Learning for Dynamics and Control, 2020, 2019
1162019
Training set debugging using trusted items
X Zhang, X Zhu, SJ Wright
AAAI 2018, 2018
892018
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
762022
Corruption-robust offline reinforcement learning
X Zhang, Y Chen, X Zhu, W Sun
International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022
642022
Decentralized gossip-based stochastic bilevel optimization over communication networks
S Yang, X Zhang, M Wang
Advances in neural information processing systems 35, 238-252, 2022
562022
Task-agnostic exploration in reinforcement learning
X Zhang, A Singla
NIPS 2020, 2020
552020
Axiomatic Interpretability for Multiclass Additive Models.
X Zhang, S Tan, P Koch, U Chajewska, R Caruana
KDD 2019, 2019
452019
Robust policy gradient against strong data corruption
X Zhang, Y Chen, X Zhu, W Sun
International Conference on Machine Learning, 12391-12401, 2021
432021
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
432021
An Optimal Control Approach to Sequential Machine Teaching
L Lessard, X Zhang, X Zhu
AISTATS 2019, 2019
392019
Provable benefits of representational transfer in reinforcement learning
A Agarwal, Y Song, W Sun, K Wang, M Wang, X Zhang
The Thirty Sixth Annual Conference on Learning Theory, 2114-2187, 2023
362023
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
322021
Provable defense against backdoor policies in reinforcement learning
S Bharti, X Zhang, A Singla, J Zhu
Advances in Neural Information Processing Systems 35, 14704-14714, 2022
222022
Byzantine-robust online and offline distributed reinforcement learning
Y Chen, X Zhang, K Zhang, M Wang, X Zhu
International Conference on Artificial Intelligence and Statistics, 3230-3269, 2023
212023
Off-policy fitted q-evaluation with differentiable function approximators: Z-estimation and inference theory
R Zhang, X Zhang, C Ni, M Wang
International Conference on Machine Learning, 26713-26749, 2022
212022
Teacher Improves Learning by Selecting a Training Subset
Y Ma, R Nowak, P Rigollet, X Zhang, X Zhu
AISTATS 2018, 2018
172018
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Cikkek 1–20