Dongruo Zhou

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	Toate	Din 2020
Referințe bibliografice	3345	3136
h-index	24	24
i10-index	32	32

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Quanquan GuAssociate Professor of Computer Science, UCLAAdresă de e-mail confirmată pe cs.ucla.edu
Jiafan HePhD student, Department of Computer Science, UCLAAdresă de e-mail confirmată pe ucla.edu
Yuan CaoThe University of Hong KongAdresă de e-mail confirmată pe hku.hk
Pan XuDuke UniversityAdresă de e-mail confirmată pe duke.edu
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityAdresă de e-mail confirmată pe psu.edu
Weitong ZhangAssistant Professor, SDSS, UNC Chapel HillAdresă de e-mail confirmată pe unc.edu
Lihong Li (李力鸿)AmazonAdresă de e-mail confirmată pe amazon.com
Yiqi TangAdresă de e-mail confirmată pe osu.edu
Difan ZouThe University of Hong KongAdresă de e-mail confirmată pe cs.hku.hk
Zixiang ChenGraduate Student of CS, UCLAAdresă de e-mail confirmată pe cs.ucla.edu
Csaba SzepesvariDeepMind & University of AlbertaAdresă de e-mail confirmată pe cs.ualberta.ca
Ziyan YangRice UniversityAdresă de e-mail confirmată pe rice.edu
Tianhao WangResearch Assistant Professor, Toyota Technological Institute at ChicagoAdresă de e-mail confirmată pe ttic.edu
Jinfeng Yi (易津锋)Adresă de e-mail confirmată pe jd.com
Khashayar KhosraviQuantitative ResearcherAdresă de e-mail confirmată pe stanford.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchAdresă de e-mail confirmată pe google.com
Yue WuPostdoctoral Research Fellow, Princeton UniversityAdresă de e-mail confirmată pe ucla.edu
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceAdresă de e-mail confirmată pe uchicago.edu
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceAdresă de e-mail confirmată pe wisc.edu
Yinglun ZhuAssistant Professor of ECE/CSE at the University of California, RiversideAdresă de e-mail confirmată pe ucr.edu

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Dongruo Zhou

Indiana University Bloomington

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

Machine Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine learning 109, 467-492, 2020	786	2020
Neural contextual bandits with UCB-based exploration D Zhou, L Li, Q Gu International Conference on Machine Learning, 11492-11502, 2020	306	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	247	2021
Stochastic nested variance reduction for nonconvex optimization D Zhou, P Xu, Q Gu arXiv preprint arXiv:1806.07811, 2018	235*	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	230	2018
On the convergence of adaptive gradient methods for nonconvex optimization D Zhou, J Chen, Y Cao, Z Yang, Q Gu arXiv preprint arXiv:1808.05671, 2018	214	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	150	2021
Neural thompson sampling W Zhang, D Zhou, L Li, Q Gu arXiv preprint arXiv:2010.00827, 2020	145	2020
Logarithmic regret for reinforcement learning with linear function approximation J He, D Zhou, Q Gu International Conference on Machine Learning, 4171-4180, 2021	107	2021
Stochastic variance-reduced cubic regularization methods D Zhou, P Xu, Q Gu Journal of Machine Learning Research 20 (134), 1-47, 2019	83*	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	77	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	65*	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	60	2023
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	58	2022
Nearly minimax optimal reinforcement learning for discounted MDPs J He, D Zhou, Q Gu Advances in Neural Information Processing Systems 34, 2021	58*	2021
Lower bounds for smooth nonconvex finite-sum optimization D Zhou, Q Gu International Conference on Machine Learning, 7574-7583, 2019	55	2019
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	51	2021
Computationally efficient horizon-free reinforcement learning for linear mixture mdps D Zhou, Q Gu Advances in neural information processing systems 35, 36337-36349, 2022	44	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	40	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	38	2021

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