Xuezhou Zhang

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Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityVerified email at princeton.edu
Yuzhe MaMicrosoftVerified email at microsoft.com
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Rich CaruanaMicrosoft ResearchVerified email at microsoft.com
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
Rishabh AgarwalSenior Research Scientist, Google DeepMindVerified email at google.com
Ben LengerichUniversity of Wisconsin-MadisonVerified email at wisc.edu
Yiding ChenUniversity of Wisconsin-MadisonVerified email at wisc.edu
Levi MelnickMicrosoftVerified email at microsoft.com
Masatoshi UeharaGenentechVerified email at gene.com
Yuda SongCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Chengzhuo NiPrinceton UniversityVerified email at alumni.princeton.edu
Laurent LessardAssociate Professor, Northeastern UniversityVerified email at northeastern.edu
Alekh AgarwalGoogleVerified email at google.com
Yin LouEngineer, Ant GroupVerified email at cs.cornell.edu
Sarah TanSalesforce / Cornell UniversityVerified email at cornell.edu
Paul KochMicrosoft ResearchVerified email at microsoft.com
Ruiqi ZhangPh.D. Student, Statistics Department at University of California, BerkeleyVerified email at berkeley.edu

Xuezhou Zhang

Boston University

Verified email at bu.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by 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, 4699-4711, 2021	468	2021
Adaptive reward-poisoning attacks against reinforcement learning X Zhang, Y Ma, A Singla, X Zhu International Conference on Machine Learning, 11225-11234, 2020	142	2020
Representation Learning for Online and Offline RL in Low-rank MDPs M Uehara, X Zhang, W Sun	141	2021
Policy poisoning in batch reinforcement learning and control Y Ma, X Zhang, W Sun, X Zhu NIPS 2019, 2019	121	2019
Online Data Poisoning Attack X Zhang, L Lessard, X Zhu Learning for Dynamics and Control, 2020, 2019	110	2019
Training set debugging using trusted items X Zhang, X Zhu, SJ Wright AAAI 2018, 2018	83	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	64	2022
Corruption-robust offline reinforcement learning X Zhang, Y Chen, X Zhu, W Sun International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022	59	2022
Task-agnostic exploration in reinforcement learning X Zhang, A Singla NIPS 2020, 2020	50	2020
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	48	2022
Axiomatic Interpretability for Multiclass Additive Models. X Zhang, S Tan, P Koch, U Chajewska, R Caruana KDD 2019, 2019	44	2019
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	40	2021
Robust policy gradient against strong data corruption X Zhang, Y Chen, X Zhu, W Sun International Conference on Machine Learning, 12391-12401, 2021	39	2021
An Optimal Control Approach to Sequential Machine Teaching L Lessard, X Zhang, X Zhu AISTATS 2019, 2019	39	2019
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	32	2021
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	26	2023
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	19	2022
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	18	2023
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	17	2022
Representation learning for general-sum low-rank markov games C Ni, Y Song, X Zhang, C Jin, M Wang arXiv preprint arXiv:2210.16976, 2022	15	2022

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