Jiantao Jiao

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Tsachy WeissmanProfessor of Electrical Engineering at Stanford UniversityVerified email at stanford.edu
Banghua ZhuUniversity of California, BerkeleyVerified email at berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Yanjun HanAssistant Professor, New York UniversityVerified email at nyu.edu
Kartik VenkatGraduate Student, Stanford UniversityVerified email at alumni.stanford.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Hanlin ZhuPh.D. student, University of California, BerkeleyVerified email at berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Hongyang ZhangAssistant Professor of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Paria RashidinejadPostdoctoral Scholar, University of California, BerkeleyVerified email at berkeley.edu
Cong MaUniversity of ChicagoVerified email at uchicago.edu
Tianhao WuUniversity of California, BerkeleyVerified email at berkeley.edu
Nived RajaramanEECS PhD student at UC BerkeleyVerified email at berkeley.edu
Yaodong YuUniversity of California, BerkeleyVerified email at berkeley.edu
Laurent El GhaouiVinUniversityVerified email at vinuni.edu.vn
Thomas CourtadeAssociate Professor, UC BerkeleyVerified email at berkeley.edu
Yuandong TianResearch Scientist, Meta AI (FAIR)Verified email at fb.com
Jacob SteinhardtStanford UniversityVerified email at cs.stanford.edu
Evan FrickUC BerkeleyVerified email at berkeley.edu

Jiantao Jiao

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

Verified email at berkeley.edu - Homepage

Generative AI Large Language Models Reinforcement Learning Machine Learning AI security


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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	3057	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	361	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	290	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	209	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	112*	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	98	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	95	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	89	2023
Minimax Estimation of Divergences between Discrete Distributions Y Han, J Jiao, T Weissman IEEE Journal on Selected Areas in Information Theory,, 2020	70	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	60	2022
Deconstructing generative adversarial networks B Zhu, J Jiao, D Tse IEEE Transactions on Information Theory, 2020, 2020	58	2020

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