Jiantao Jiao 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	5213	4742
h 指数	29	26
i10 指数	47	44

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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
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC Berkeley在 eecs.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
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
Adaptive estimation of Shannon entropy Y Han, J Jiao, T Weissman 2015 IEEE International Symposium on Information Theory (ISIT), 1372-1376, 2015	38	2015
An extremal inequality for long Markov chains TA Courtade, J Jiao 2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014	16	2014
Approximate profile maximum likelihood DS Pavlichin, J Jiao, T Weissman Journal of Machine Learning Research 20 (122), 1-55, 2019	51	2019
Barracuda: the power of ℓ-polling in proof-of-stake blockchains G Fanti, J Jiao, A Makkuva, S Oh, R Rana, P Viswanath Proceedings of the twentieth ACM international symposium on mobile ad hoc …, 2019	12	2019
Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets J Jiao, Y Han, T Weissman 2016 50th Asilomar Conference on Signals, Systems and Computers, 321-325, 2016	15*	2016
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits Y Wang, T Baharav, Y Han, J Jiao, D Tse Advances in Neural Information Processing Systems 35, 9262-9273, 2022	3	2022
Beyond ucb: Statistical complexity and optimal algorithms for non-linear ridge bandits N Rajaraman, Y Han, J Jiao, K Ramchandran arXiv preprint arXiv:2302.06025, 2023	4	2023
Bias correction with jackknife, bootstrap, and Taylor series J Jiao, Y Han IEEE Transactions on Information Theory, 2020	29	2020
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	279	2021
Byzantine-robust federated learning with optimal statistical rates B Zhu, L Wang, Q Pang, S Wang, J Jiao, D Song, MI Jordan International Conference on Artificial Intelligence and Statistics, 3151-3178, 2023	23	2023
Byzantine-robust federated learning with optimal statistical rates and privacy guarantees B Zhu, L Wang, Q Pang, S Wang, J Jiao, D Song, MI Jordan arXiv preprint arXiv:2205.11765, 2022	6	2022
Computational benefits of intermediate rewards for goal-reaching policy learning Y Zhai, C Baek, Z Zhou, J Jiao, Y Ma Journal of Artificial Intelligence Research 73, 847-896, 2022	20	2022
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	53*	2020
Data Refinement: Mitigating Reward Over-Optimization in Reinforcement Learning with Human Feedback B Zhu, J Schulman, J Jiao
Deconstructing generative adversarial networks B Zhu, J Jiao, D Tse IEEE Transactions on Information Theory, 2020, 2020	45	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	60	2017
Doubly-Robust Self-Training B Zhu, M Ding, P Jacobson, M Wu, W Zhan, M Jordan, J Jiao Advances in Neural Information Processing Systems 36, 2024	4	2024
Efficient Prompt Caching for Large Language Model Inference via Embedding Similarity H Zhu, B Zhu, J Jiao
Efficient Prompt Caching via Embedding Similarity H Zhu, B Zhu, J Jiao arXiv preprint arXiv:2402.01173, 2024	1	2024
End-to-end Story Plot Generator H Zhu, A Cohen, D Wang, K Yang, X Yang, J Jiao, Y Tian arXiv preprint arXiv:2310.08796, 2023	2	2023

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