Jiantao Jiao 个人学术档案 - 学术资源搜索

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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 HanAssistant Professor, New York University在 nyu.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
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
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
Cong MaUniversity of Chicago在 uchicago.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
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
Thomas CourtadeAssociate Professor, UC Berkeley在 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
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
Yihong WuProfessor, Department of Statistics and Data Science在 yale.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	2512	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	283	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	280	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	169	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	140*	2017
Minimax Estimation of theDistance J Jiao, Y Han, T Weissman IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018	104	2018
Minimax Estimation of Discrete Distributions Under Loss Y Han, J Jiao, T Weissman IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015	104*	2015
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	98	2023
Optimal rates of entropy estimation over Lipschitz balls Y Han, J Jiao, T Weissman, Y Wu Annals of Statistics, 2017	87	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	75	2023
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	69	2020
Minimax Estimation of Divergences between Discrete Distributions Y Han, J Jiao, T Weissman IEEE Journal on Selected Areas in Information Theory,, 2020	67	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
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	62	2023
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
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	55	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	52*	2020
Approximate profile maximum likelihood DS Pavlichin, J Jiao, T Weissman Journal of Machine Learning Research 20 (122), 1-55, 2019	51	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	48	2018
Generalized resilience and robust statistics B Zhu, J Jiao, J Steinhardt The Annals of Statistics 50 (4), 2256-2283, 2022	46	2022

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