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 | 279 | 2015 |
Batched multi-armed bandits problem Z Gao, Y Han, Z Ren, Z Zhou Advances in Neural Information Processing Systems 32, 2019 | 156 | 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 | 147 | 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 | 124 | 2017 |
Minimax Estimation of theDistance J Jiao, Y Han, T Weissman IEEE Transactions on Information Theory 64 (10), 6672-6706, 2018 | 104 | 2018 |
Geometric lower bounds for distributed parameter estimation under communication constraints Y Han, A Özgür, T Weissman Conference On Learning Theory, 3163-3188, 2018 | 97 | 2018 |
Optimal rates of entropy estimation over Lipschitz balls Y Han, J Jiao, T Weissman, Y Wu | 86 | 2020 |
Minimax Estimation of Discrete Distributions Under Loss Y Han, J Jiao, T Weissman IEEE Transactions on Information Theory 61 (11), 6343-6354, 2015 | 85 | 2015 |
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 | 78 | 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 | 72 | 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 | 70 | 2020 |
Demystifying resnet S Li, J Jiao, Y Han, T Weissman arXiv preprint arXiv:1611.01186, 2016 | 63 | 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 | 60 | 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 | 56 | 2018 |
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 | 52 | 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 | 51 | 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 | 48 | 2018 |
Optimal no-regret learning in repeated first-price auctions Y Han, T Weissman, Z Zhou Operations Research, 2024 | 43 | 2024 |
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 | 39 | 2020 |
Adaptive estimation of Shannon entropy Y Han, J Jiao, T Weissman 2015 IEEE International Symposium on Information Theory (ISIT), 1372-1376, 2015 | 38 | 2015 |