Jiantao Jiao

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	总计	2018 年至今
引用	4322	4034
h 指数	26	24
i10 指数	41	39

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Tsachy WeissmanProfessor of Electrical Engineering at Stanford University在 stanford.edu 的电子邮件经过验证
Yanjun HanStanford University在 stanford.edu 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Banghua ZhuUniversity of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Kartik VenkatGraduate Student, Stanford University在 alumni.stanford.edu 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Hongyang ZhangAssistant Professor of Computer Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Paria RashidinejadPostdoctoral Scholar, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Cong MaUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
Stuart RussellProfessor of Computer Science, University of California, Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Yaodong YuUniversity of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Laurent El GhaouiUC Berkeley (EECS, IEOR)在 berkeley.edu 的电子邮件经过验证
Thomas CourtadeAssociate Professor, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
Nived RajaramanEECS PhD student at UC Berkeley在 berkeley.edu 的电子邮件经过验证
Yihong WuProfessor, Department of Statistics and Data Science在 yale.edu 的电子邮件经过验证
Jacob SteinhardtStanford University在 cs.stanford.edu 的电子邮件经过验证
Haim H. PermuterBen Gurion University在 bgu.ac.il 的电子邮件经过验证
Young-Han KimUniversity of California, San Diego在 ucsd.edu 的电子邮件经过验证
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data Science在 wisc.edu 的电子邮件经过验证

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Jiantao Jiao

Assistant Professor of EECS and Statistics, University of California, Berkeley

在 berkeley.edu 的电子邮件经过验证 - 首页

Generative AI Large Language Models Reinforcement Learning Machine Learning AI security


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, EP Xing, LE Ghaoui, MI Jordan Proceedings of the 36th International Conference on Machine Learning, Long …, 2019	2111	2019
Minimax estimation of functionals of discrete distributions J Jiao, K Venkat, Y Han, T Weissman IEEE Transactions on Information Theory 61 (5), 2835-2885, 2015	272	2015
Bridging offline reinforcement learning and imitation learning: A tale of pessimism P Rashidinejad, B Zhu, C Ma, J Jiao, S Russell Advances in Neural Information Processing Systems 34, 11702-11716, 2021	208	2021
Universal Estimation of Directed Information J Jiao, HH Permuter, L Zhao, YH Kim, T Weissman Information Theory, IEEE Transactions on 59 (10), 6220-6242, 2013	160	2013
Maximum Likelihood Estimation of Functionals of Discrete Distributions J Jiao, K Venkat, Y Han, T Weissman IEEE Transactions on Information Theory 63 (10), 6774 - 6798, 2017	136*	2017
Minimax Estimation of theDistance J Jiao, Y Han, T Weissman IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018	100	2018
Minimax Estimation of Discrete Distributions Under Loss Y Han, J Jiao, T Weissman IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015	98*	2015
Optimal rates of entropy estimation over Lipschitz balls Y Han, J Jiao, T Weissman, Y Wu Annals of Statistics, 2017	84	2017
Justification of logarithmic loss via the benefit of side information J Jiao, TA Courtade, K Venkat, T Weissman IEEE Transactions on Information Theory 61 (10), 5357-5365, 2015	68	2015
Minimax Estimation of Divergences between Discrete Distributions Y Han, J Jiao, T Weissman IEEE Journal on Selected Areas in Information Theory,, 2020	67*	2020
Dependence measures bounding the exploration bias for general measurements J Jiao, Y Han, T Weissman 2017 IEEE International Symposium on Information Theory (ISIT), 1475-1479, 2017	61	2017
Toward the fundamental limits of imitation learning N Rajaraman, L Yang, J Jiao, K Ramchandran Advances in Neural Information Processing Systems 33, 2914-2924, 2020	55	2020
The nearest neighbor information estimator is adaptively near minimax rate-optimal J Jiao, W Gao, Y Han Advances in neural information processing systems 31, 2018	53	2018
Jump-start reinforcement learning I Uchendu, T Xiao, Y Lu, B Zhu, M Yan, J Simon, M Bennice, C Fu, C Ma, ... International Conference on Machine Learning, 34556-34583, 2023	52	2023
Approximate Profile Maximum Likelihood. DS Pavlichin, J Jiao, T Weissman J. Mach. Learn. Res. 20 (122), 1-55, 2019	47	2019
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance Y Han, J Jiao, T Weissman Conference on Learning Theory, 2018	46	2018
Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types J Mardia, J Jiao, E Tánczos, RD Nowak, T Weissman Information and Inference: A Journal of the IMA 9 (4), 813-850, 2020	43*	2020
Deconstructing generative adversarial networks B Zhu, J Jiao, D Tse IEEE Transactions on Information Theory, 2020, 2020	42	2020
Securing secure aggregation: Mitigating multi-round privacy leakage in federated learning J So, RE Ali, B Güler, J Jiao, AS Avestimehr Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9864-9873, 2023	41	2023
Information measures: the curious case of the binary alphabet J Jiao, TA Courtade, A No, K Venkat, T Weissman IEEE Transactions on Information Theory 60 (12), 7616-7626, 2014	39	2014

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