Dongruo Zhou

Cited by

	All	Since 2019
Citations	3109	3080
h-index	23	23
i10-index	31	31

780

390

195

585

201820192020202120222023202423 179 292 483 767 751 607

Public access

View all

32 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Jiafan HePhD student, Department of Computer Science, UCLAVerified email at ucla.edu
Yuan CaoThe University of Hong KongVerified email at hku.hk
Weitong ZhangAssistant Professor, SDSS, UNC Chapel HillVerified email at unc.edu
Pan XuDuke UniversityVerified email at duke.edu
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityVerified email at psu.edu
Difan ZouThe University of Hong KongVerified email at cs.hku.hk
Yiqi TangVerified email at osu.edu
Ziyan YangRice UniversityVerified email at rice.edu
Zixiang ChenGraduate Student of CS, UCLAVerified email at cs.ucla.edu
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Tianhao WangResearch Assistant Professor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Jinfeng Yi (易津锋)Verified email at jd.com
LUYAO YUANStudent of Computer Science, University of California, Los AngelesVerified email at g.ucla.edu
Khashayar KhosraviQuantitative ResearcherVerified email at stanford.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Yue WuPhD student, Department of Computer Science, UCLAVerified email at ucla.edu
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu

Dongruo Zhou

Indiana University Bloomington

Verified email at iu.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine learning 109, 467-492, 2020	735	2020
Neural contextual bandits with UCB-based exploration D Zhou, L Li, Q Gu International Conference on Machine Learning, 11492-11502, 2020	258	2020
Neural thompson sampling W Zhang, D Zhou, L Li, Q Gu arXiv preprint arXiv:2010.00827, 2020	245	2020
Nearly minimax optimal reinforcement learning for linear mixture markov decision processes D Zhou, Q Gu, C Szepesvari Conference on Learning Theory, 4532-4576, 2021	222	2021
Stochastic nested variance reduction for nonconvex optimization D Zhou, P Xu, Q Gu arXiv preprint arXiv:1806.07811, 2018	221*	2018
Closing the generalization gap of adaptive gradient methods in training deep neural networks J Chen, D Zhou, Y Tang, Z Yang, Y Cao, Q Gu arXiv preprint arXiv:1806.06763, 2018	201	2018
On the convergence of adaptive gradient methods for nonconvex optimization D Zhou, J Chen, Y Cao, Y Tang, Z Yang, Q Gu arXiv preprint arXiv:1808.05671, 2018	192	2018
Provably efficient reinforcement learning for discounted mdps with feature mapping D Zhou, J He, Q Gu International Conference on Machine Learning, 12793-12802, 2021	140	2021
Logarithmic regret for reinforcement learning with linear function approximation J He, D Zhou, Q Gu International Conference on Machine Learning, 4171-4180, 2021	103	2021
Stochastic variance-reduced cubic regularization methods D Zhou, P Xu, Q Gu Journal of Machine Learning Research 20 (134), 1-47, 2019	72*	2019
A frank-wolfe framework for efficient and effective adversarial attacks J Chen, D Zhou, J Yi, Q Gu Proceedings of the AAAI conference on artificial intelligence 34 (04), 3486-3494, 2020	66	2020
Almost optimal algorithms for two-player zero-sum linear mixture markov games Z Chen, D Zhou, Q Gu International Conference on Algorithmic Learning Theory, 227-261, 2022	60*	2022
Nearly minimax optimal reinforcement learning for linear markov decision processes J He, H Zhao, D Zhou, Q Gu International Conference on Machine Learning, 12790-12822, 2023	52	2023
Lower bounds for smooth nonconvex finite-sum optimization D Zhou, Q Gu International Conference on Machine Learning, 7574-7583, 2019	50	2019
Nearly minimax optimal reinforcement learning for discounted MDPs J He, D Zhou, Q Gu Advances in Neural Information Processing Systems 34, 2021	48*	2021
Provably efficient reinforcement learning with linear function approximation under adaptivity constraints T Wang, D Zhou, Q Gu Advances in Neural Information Processing Systems 34, 13524-13536, 2021	47	2021
Nearly optimal algorithms for linear contextual bandits with adversarial corruptions J He, D Zhou, T Zhang, Q Gu Advances in neural information processing systems 35, 34614-34625, 2022	43	2022
Computationally efficient horizon-free reinforcement learning for linear mixture mdps D Zhou, Q Gu Advances in neural information processing systems 35, 36337-36349, 2022	40	2022
Variance-aware off-policy evaluation with linear function approximation Y Min, T Wang, D Zhou, Q Gu Advances in neural information processing systems 34, 7598-7610, 2021	39	2021
Reward-free model-based reinforcement learning with linear function approximation W Zhang, D Zhou, Q Gu Advances in Neural Information Processing Systems 34, 1582-1593, 2021	35	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors