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Jiantao Jiao
Jiantao Jiao
Assistant Professor of EECS and Statistics, University of California, Berkeley
Geverifieerd e-mailadres voor berkeley.edu - Homepage
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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
29612019
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
3372021
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
2872015
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
1842023
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
1762013
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
1272023
Minimax Estimation of Discrete Distributions Under Loss
Y Han, J Jiao, T Weissman
IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015
110*2015
Minimax Estimation of theDistance
J Jiao, Y Han, T Weissman
IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018
1062018
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
882023
Optimal rates of entropy estimation over Lipschitz balls
Y Han, J Jiao, T Weissman, Y Wu
Annals of Statistics, 2017
872017
Starling-7b: Improving llm helpfulness & harmlessness with rlaif
B Zhu, E Frick, T Wu, H Zhu, J Jiao
November, 2023
852023
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
852020
Minimax Estimation of Divergences between Discrete Distributions
Y Han, J Jiao, T Weissman
IEEE Journal on Selected Areas in Information Theory,, 2020
742020
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
672015
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
632017
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
60*2020
Generalized resilience and robust statistics
B Zhu, J Jiao, J Steinhardt
The Annals of Statistics 50 (4), 2256-2283, 2022
592022
Deconstructing generative adversarial networks
B Zhu, J Jiao, D Tse
IEEE Transactions on Information Theory, 2020, 2020
572020
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
572018
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Artikelen 1–20