Yanjun Han
Title
Cited by
Cited by
Year
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
2212015
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
1072017
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
1002015
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
992015
Minimax Estimation of theDistance
J Jiao, Y Han, T Weissman
IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018
842018
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
612015
Minimax Estimation of Discrete Distributions Under Loss
Y Han, J Jiao, T Weissman
IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015
602015
Optimal rates of entropy estimation over Lipschitz balls
Y Han, J Jiao, T Weissman, Y Wu
The Annals of Statistics 48 (6), 3228-3250, 2020
562020
Geometric lower bounds for distributed parameter estimation under communication constraints
Y Han, A Özgür, T Weissman
Conference On Learning Theory, 3163-3188, 2018
502018
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
492020
Batched multi-armed bandits problem
Z Gao, Y Han, Z Ren, Z Zhou
arXiv preprint arXiv:1904.01763, 2019
412019
The nearest neighbor information estimator is adaptively near minimax rate-optimal
J Jiao, W Gao, Y Han
arXiv preprint arXiv:1711.08824, 2017
412017
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
392018
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
382017
Demystifying resnet
S Li, J Jiao, Y Han, T Weissman
arXiv preprint arXiv:1611.01186, 2016
322016
Adaptive estimation of Shannon entropy
Y Han, J Jiao, T Weissman
2015 IEEE International Symposium on Information Theory (ISIT), 1372-1376, 2015
292015
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
282018
On estimation of L r -norms in Gaussian white noise models
Y Han, J Jiao, R Mukherjee
Probability Theory and Related Fields 177 (3), 1243-1294, 2020
212020
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
212020
Learning distributions from their samples under communication constraints
LP Barnes, Y Han, A Ozgur
arXiv preprint arXiv:1902.02890, 2019
162019
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Articles 1–20