Xuezhou Zhang

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Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonAdresă de e-mail confirmată pe cs.wisc.edu
Yuzhe MaMicrosoftAdresă de e-mail confirmată pe microsoft.com
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityAdresă de e-mail confirmată pe princeton.edu
Wen SunAssistant Professor, Cornell UniversityAdresă de e-mail confirmată pe cornell.edu
Rich CaruanaMicrosoft ResearchAdresă de e-mail confirmată pe microsoft.com
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyAdresă de e-mail confirmată pe mpi-sws.org
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
Rishabh AgarwalSenior Research Scientist, Google DeepMindAdresă de e-mail confirmată pe google.com
Ben LengerichMIT, Broad InstituteAdresă de e-mail confirmată pe mit.edu
Levi MelnickMicrosoftAdresă de e-mail confirmată pe microsoft.com
Masatoshi UeharaGenentechAdresă de e-mail confirmată pe cornell.edu
Laurent LessardAssociate Professor, Northeastern UniversityAdresă de e-mail confirmată pe northeastern.edu
Yiding ChenUniversity of Wisconsin-MadisonAdresă de e-mail confirmată pe wisc.edu
Chengzhuo NiPrinceton UniversityAdresă de e-mail confirmată pe princeton.edu
Yuda SongCarnegie Mellon UniversityAdresă de e-mail confirmată pe andrew.cmu.edu
Alekh AgarwalGoogleAdresă de e-mail confirmată pe google.com
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinAdresă de e-mail confirmată pe cs.wisc.edu
Ruiqi ZhangPh.D. Student, Statistics Department at University of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Yin LouEngineer, Ant GroupAdresă de e-mail confirmată pe cs.cornell.edu
Sarah TanCambia Health / Cornell UniversityAdresă de e-mail confirmată pe cornell.edu

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Xuezhou Zhang

Boston University

Adresă de e-mail confirmată pe bu.edu - Pagina de pornire

Machine Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	318	2021
Online Data Poisoning Attack X Zhang, L Lessard, X Zhu Learning for Dynamics and Control, 2020, 2019	120*	2019
Adaptive reward-poisoning attacks against reinforcement learning X Zhang, Y Ma, A Singla, X Zhu International Conference on Machine Learning, 11225-11234, 2020	99	2020
Representation Learning for Online and Offline RL in Low-rank MDPs M Uehara, X Zhang, W Sun	95	2021
Policy poisoning in batch reinforcement learning and control Y Ma, X Zhang, W Sun, X Zhu NIPS 2019, 2019	94	2019
Training set debugging using trusted items X Zhang, X Zhu, SJ Wright AAAI 2018, 2018	75	2018
Task-agnostic exploration in reinforcement learning X Zhang, A Singla NIPS 2020, 2020	45	2020
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	42	2022
Corruption-robust offline reinforcement learning X Zhang, Y Chen, X Zhu, W Sun International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022	35	2022
An Optimal Control Approach to Sequential Machine Teaching L Lessard, X Zhang, X Zhu AISTATS 2019, 2019	33	2019
Axiomatic Interpretability for Multiclass Additive Models. X Zhang, S Tan, P Koch, U Chajewska, R Caruana KDD 2019, 2019	31	2019
Robust policy gradient against strong data corruption X Zhang, Y Chen, X Zhu, W Sun International Conference on Machine Learning, 12391-12401, 2021	27	2021
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	25	2022
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	25	2021
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	22	2021
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	14	2022
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	13	2023
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	13*	2021
Teacher Improves Learning by Selecting a Training Subset Y Ma, R Nowak, P Rigollet, X Zhang, X Zhu AISTATS 2018, 2018	12	2018
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	10	2022

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