Jiantao Jiao

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引用	6029	5556
h 指数	31	29
i10 指数	54	52

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Tsachy WeissmanProfessor of Electrical Engineering at Stanford University在 stanford.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
Yanjun HanAssistant Professor, New York University在 nyu.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
Kartik VenkatGraduate Student, Stanford University在 alumni.stanford.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
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
Stuart RussellProfessor of Computer Science, University of California, Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Hanlin ZhuPh.D. student, 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
Nived RajaramanEECS PhD student at UC Berkeley在 berkeley.edu 的电子邮件经过验证
Tianhao WuUniversity of California, Berkeley在 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 GhaouiVinUniversity在 vinuni.edu.vn 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
Yuandong TianResearch Scientist, Meta AI (FAIR)在 fb.com 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

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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	2840	2019
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	322	2021
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	287	2015
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	173	2013
Principled reinforcement learning with human feedback from pairwise or k-wise comparisons B Zhu, M Jordan, J Jiao International Conference on Machine Learning, 43037-43067, 2023	157	2023
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	142*	2017
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	115	2023
Minimax Estimation of Discrete Distributions Under Loss Y Han, J Jiao, T Weissman IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015	107*	2015
Minimax Estimation of theDistance J Jiao, Y Han, T Weissman IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018	105	2018
Optimal rates of entropy estimation over Lipschitz balls Y Han, J Jiao, T Weissman, Y Wu Annals of Statistics, 2017	87	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	83	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	79	2023
Starling-7b: Improving llm helpfulness & harmlessness with rlaif B Zhu, E Frick, T Wu, H Zhu, J Jiao November, 2023	75	2023
Minimax Estimation of Divergences between Discrete Distributions Y Han, J Jiao, T Weissman IEEE Journal on Selected Areas in Information Theory,, 2020	73	2020
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	67	2015
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	63	2017
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	57*	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	57	2018
Generalized resilience and robust statistics B Zhu, J Jiao, J Steinhardt The Annals of Statistics 50 (4), 2256-2283, 2022	54	2022
Deconstructing generative adversarial networks B Zhu, J Jiao, D Tse IEEE Transactions on Information Theory, 2020, 2020	53	2020

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