Xuezhou Zhang

Citirano

	Sve	Od 2018.
Citati	1062	1059
H-indeks	15	15
i10-indeks	19	19

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Suautori

Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonPotvrđena adresa e-pošte na cs.wisc.edu
Yuzhe MaMicrosoftPotvrđena adresa e-pošte na microsoft.com
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Wen SunAssistant Professor, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Rich CaruanaMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyPotvrđena adresa e-pošte na mpi-sws.org
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoPotvrđena adresa e-pošte na cs.toronto.edu
Rishabh AgarwalSenior Research Scientist, Google BrainPotvrđena adresa e-pošte na google.com
Ben LengerichMIT, Broad InstitutePotvrđena adresa e-pošte na mit.edu
Levi MelnickMicrosoftPotvrđena adresa e-pošte na microsoft.com
Masatoshi UeharaCornell UniversityPotvrđena adresa e-pošte na cornell.edu
Laurent LessardAssociate Professor, Northeastern UniversityPotvrđena adresa e-pošte na northeastern.edu
Yiding ChenUniversity of Wisconsin-MadisonPotvrđena adresa e-pošte na wisc.edu
Chengzhuo NiPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
Yuda SongCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Alekh AgarwalGooglePotvrđena adresa e-pošte na google.com
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinPotvrđena adresa e-pošte na cs.wisc.edu
Ruiqi ZhangPh.D. Student, Statistics Department at University of California, BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Yin LouEngineer, Ant GroupPotvrđena adresa e-pošte na cs.cornell.edu
Sarah TanFacebookPotvrđena adresa e-pošte na fb.com

Prati

Xuezhou Zhang

Boston University

Potvrđena adresa e-pošte na bu.edu - Početna stranica

Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	286	2021
Online Data Poisoning Attack X Zhang, L Lessard, X Zhu Learning for Dynamics and Control, 2020, 2019	109*	2019
Adaptive reward-poisoning attacks against reinforcement learning X Zhang, Y Ma, A Singla, X Zhu International Conference on Machine Learning, 11225-11234, 2020	88	2020
Policy poisoning in batch reinforcement learning and control Y Ma, X Zhang, W Sun, X Zhu NIPS 2019, 2019	86	2019
Representation Learning for Online and Offline RL in Low-rank MDPs M Uehara, X Zhang, W Sun	84	2021
Training set debugging using trusted items X Zhang, X Zhu, SJ Wright AAAI 2018, 2018	74	2018
Task-agnostic exploration in reinforcement learning X Zhang, A Singla NIPS 2020, 2020	42	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	35	2022
An Optimal Control Approach to Sequential Machine Teaching L Lessard, X Zhang, X Zhu AISTATS 2019, 2019	32	2019
Axiomatic Interpretability for Multiclass Additive Models. X Zhang, S Tan, P Koch, U Chajewska, R Caruana KDD 2019, 2019	30	2019
Corruption-robust offline reinforcement learning X Zhang, Y Chen, X Zhu, W Sun International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022	29	2022
Robust policy gradient against strong data corruption X Zhang, Y Chen, X Zhu, W Sun International Conference on Machine Learning, 12391-12401, 2021	25	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	24	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	22	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	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
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	11*	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	10	2023
Teacher Improves Learning by Selecting a Training Subset Y Ma, R Nowak, P Rigollet, X Zhang, X Zhu AISTATS 2018, 2018	10	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	7	2022

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