Yanjun Han

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Coauteurs

Tsachy WeissmanProfessor of Electrical Engineering at Stanford UniversityAdresse e-mail validée de stanford.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyAdresse e-mail validée de berkeley.edu
Ayfer OzgurAssociate Professor of Electrical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Kartik VenkatGraduate Student, Stanford UniversityAdresse e-mail validée de alumni.stanford.edu
Zhengyuan ZhouDept of Technology, Operations and Statistics at NYU SternAdresse e-mail validée de stern.nyu.edu
Zhengqing ZhouStanford UniversityAdresse e-mail validée de stanford.edu
Yihong WuProfessor, Department of Statistics and Data ScienceAdresse e-mail validée de yale.edu
Leighton BarnesCenter for Communications Research - PrincetonAdresse e-mail validée de idaccr.org
Yuan ShenProfessor, EE, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
(Joshua) Huadong MengAssociate Research Engineer, UC BerkeleyAdresse e-mail validée de berkeley.edu
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Nived RajaramanEECS PhD student at UC BerkeleyAdresse e-mail validée de berkeley.edu
Zhimei RenUniversity of PennsylvaniaAdresse e-mail validée de wharton.upenn.edu
Moe Z. WinNASA Jet Propulsion Laboratory, AT&T Research Labs, Massachusetts Institute of Technology (MIT)Adresse e-mail validée de mit.edu
Weihao GaoMoonshot AIAdresse e-mail validée de illinois.edu
Kunhe YangUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Nika HaghtalabUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Abhishek ShettyPostdoctoral Fellow, Massachussetts Institute of TechnologyAdresse e-mail validée de berkeley.edu
Linglong DaiProfessor, Tsinghua University; IEEE FellowAdresse e-mail validée de tsinghua.edu.cn
Zhaocheng WangProfessor of Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn

Suivre

Yanjun Han

Assistant Professor, New York University

Adresse e-mail validée de nyu.edu - Page d'accueil

statistics learning theory information theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	287	2015
Batched multi-armed bandits problem Z Gao, Y Han, Z Ren, Z Zhou Advances in Neural Information Processing Systems 32, 2019	172	2019
Performance limits and geometric properties of array localization Y Han, Y Shen, XP Zhang, MZ Win, H Meng IEEE Transactions on Information Theory 62 (2), 1054-1075, 2015	150	2015
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	127	2017
Geometric lower bounds for distributed parameter estimation under communication constraints Y Han, A Özgür, T Weissman Conference On Learning Theory, 3163-3188, 2018	109	2018
Minimax Estimation of theDistance J Jiao, Y Han, T Weissman IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018	106	2018
Lower bounds for learning distributions under communication constraints via fisher information LP Barnes, Y Han, A Ozgur Journal of Machine Learning Research 21 (236), 1-30, 2020	91	2020
Optimal rates of entropy estimation over Lipschitz balls Y Han, J Jiao, T Weissman, Y Wu	87	2020
Minimax Estimation of Discrete Distributions Under Loss Y Han, J Jiao, T Weissman IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015	87	2015
Minimax estimation of divergences between discrete distributions Y Han, J Jiao, T Weissman IEEE Journal on Selected Areas in Information Theory 1 (3), 814-823, 2020	74	2020
On the ergodic capacity of MIMO free-space optical systems over turbulence channels J Zhang, L Dai, Y Han, Y Zhang, Z Wang IEEE Journal on Selected Areas in Communications 33 (9), 1925-1934, 2015	74	2015
Demystifying resnet S Li, J Jiao, Y Han, T Weissman arXiv preprint arXiv:1611.01186, 2016	67	2016
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	63	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	57	2018
Sequential batch learning in finite-action linear contextual bandits Y Han, Z Zhou, Z Zhou, J Blanchet, PW Glynn, Y Ye arXiv preprint arXiv:2004.06321, 2020	56	2020
Distributed statistical estimation of high-dimensional and nonparametric distributions Y Han, P Mukherjee, A Ozgur, T Weissman 2018 IEEE International Symposium on Information Theory (ISIT), 506-510, 2018	55	2018
Optimal no-regret learning in repeated first-price auctions Y Han, Z Zhou, T Weissman arXiv preprint arXiv:2003.09795, 2020	53*	2020
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, 3189-3221, 2018	49	2018
Learning to bid optimally and efficiently in adversarial first-price auctions Y Han, Z Zhou, A Flores, E Ordentlich, T Weissman arXiv preprint arXiv:2007.04568, 2020	46	2020
Adaptive estimation of Shannon entropy Y Han, J Jiao, T Weissman 2015 IEEE International Symposium on Information Theory (ISIT), 1372-1376, 2015	40	2015

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