Analysis of knn density estimation P Zhao, L Lai
IEEE Transactions on Information Theory 68 (12), 7971-7995, 2022
21 2022 Minimax optimal estimation of KL divergence for continuous distributions P Zhao, L Lai
IEEE Transactions on Information Theory 66 (12), 7787-7811, 2020
19 2020 Analysis of KNN information estimators for smooth distributions P Zhao, L Lai
IEEE Transactions on Information Theory 66 (6), 3798-3826, 2019
18 2019 Minimax rate optimal adaptive nearest neighbor classification and regression P Zhao, L Lai
IEEE Transactions on Information Theory 67 (5), 3155-3182, 2021
13 2021 Efficient classification with adaptive KNN P Zhao, L Lai
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11007 …, 2021
5 2021 Analysis of k nearest neighbor KL divergence estimation for continuous distributions P Zhao, L Lai
2020 IEEE International Symposium on Information Theory (ISIT), 2562-2567, 2020
5 2020 Optimal stochastic nonconvex optimization with bandit feedback P Zhao, L Lai
arXiv preprint arXiv:2103.16082, 2021
4 2021 Minimax regression via adaptive nearest neighbor P Zhao, L Lai
2019 IEEE International Symposium on Information Theory (ISIT), 1447-1451, 2019
4 2019 Robust Nonparametric Regression under Poisoning Attack P Zhao, Z Wan
arXiv preprint arXiv:2305.16771, 2023
2 2023 Nonparametric direct entropy difference estimation P Zhao, L Lai
2018 IEEE Information Theory Workshop (ITW), 1-5, 2018
2 2018 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers P Zhao, Z Wan
arXiv preprint arXiv:2307.13352, 2023
1 2023 On the convergence rates of KNN density estimation P Zhao, L Lai
2021 IEEE International Symposium on Information Theory (ISIT), 2840-2845, 2021
1 2021 Nearest neighbor methods with applications in functional estimation and machine learning P Zhao
University of California, Davis, 2021
1 2021 Progressive tone mapping of brain images at single-neuron resolution P Zhao, Z Xiong, D Liu, H Wang, C Yang, L Ding, W Ding, ZJ Zha, G Bi, ...
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
1 2017 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning P Zhao, F Yu, Z Wan
arXiv preprint arXiv:2308.12581, 2023
2023 Minimax Optimal P Zhao, L Lai
arXiv preprint arXiv:2308.01490, 2023
2023 Entropy Rate Estimation for Markov Chains with Continuous Distributions P Zhao, L Lai
2023 IEEE International Symposium on Information Theory (ISIT), 1884-1889, 2023
2023 
Lifeng LaiProfessor, University of California, DavisBestätigte E-Mail-Adresse bei ucdavis.edu
