Jiantao Jiao

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Tsachy WeissmanProfessor of Electrical Engineering at Stanford University確認したメールアドレス: stanford.edu
Banghua ZhuUniversity of California, Berkeley確認したメールアドレス: berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Yanjun HanAssistant Professor, New York University確認したメールアドレス: nyu.edu
Kartik VenkatGraduate Student, Stanford University確認したメールアドレス: alumni.stanford.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC Berkeley確認したメールアドレス: eecs.berkeley.edu
Hanlin ZhuPh.D. student, University of California, Berkeley確認したメールアドレス: berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, Berkeley確認したメールアドレス: cs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U確認したメールアドレス: cs.cmu.edu
Hongyang ZhangAssistant Professor of Computer Science, University of Waterloo確認したメールアドレス: uwaterloo.ca
Paria RashidinejadPostdoctoral Scholar, University of California, Berkeley確認したメールアドレス: berkeley.edu
Cong MaUniversity of Chicago確認したメールアドレス: uchicago.edu
Tianhao WuUniversity of California, Berkeley確認したメールアドレス: berkeley.edu
Nived RajaramanEECS PhD student at UC Berkeley確認したメールアドレス: berkeley.edu
Yaodong YuUniversity of California, Berkeley確認したメールアドレス: berkeley.edu
Laurent El GhaouiVinUniversity確認したメールアドレス: vinuni.edu.vn
Thomas CourtadeAssociate Professor, UC Berkeley確認したメールアドレス: berkeley.edu
Yuandong TianResearch Scientist, Meta AI (FAIR)確認したメールアドレス: fb.com
Jacob SteinhardtStanford University確認したメールアドレス: cs.stanford.edu
Yihong WuProfessor, Department of Statistics and Data Science確認したメールアドレス: yale.edu

フォロー

Jiantao Jiao

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

確認したメールアドレス: berkeley.edu - ホームページ

Generative AI Large Language Models Reinforcement Learning Machine Learning AI security


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	3034	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	359	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	289	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	204	2023
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	176	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	143*	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	137	2023
Minimax Estimation of Discrete Distributions Under Loss Y Han, J Jiao, T Weissman IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015	111*	2015
Minimax Estimation of theDistance J Jiao, Y Han, T Weissman IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018	108	2018
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	95	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	93	2020
Optimal rates of entropy estimation over Lipschitz balls Y Han, J Jiao, T Weissman, Y Wu Annals of Statistics, 2017	90	2017
Starling-7b: Improving llm helpfulness & harmlessness with rlaif B Zhu, E Frick, T Wu, H Zhu, J Jiao 2023, 2023	88	2023
Minimax Estimation of Divergences between Discrete Distributions Y Han, J Jiao, T Weissman IEEE Journal on Selected Areas in Information Theory,, 2020	69	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	66	2017
Generalized resilience and robust statistics B Zhu, J Jiao, J Steinhardt The Annals of Statistics 50 (4), 2256-2283, 2022	62	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	62*	2020
The sample complexity of online contract design B Zhu, S Bates, Z Yang, Y Wang, J Jiao, MI Jordan arXiv preprint arXiv:2211.05732, 2022	59	2022
Deconstructing generative adversarial networks B Zhu, J Jiao, D Tse IEEE Transactions on Information Theory, 2020, 2020	58	2020

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