| Analysis of knn density estimation P Zhao, L Lai IEEE Transactions on Information Theory 68 (12), 7971-7995, 2022 | 49 | 2022 |
| Minimax optimal estimation of KL divergence for continuous distributions P Zhao, L Lai IEEE Transactions on Information Theory 66 (12), 7787-7811, 2020 | 30 | 2020 |
| Minimax rate optimal adaptive nearest neighbor classification and regression P Zhao, L Lai IEEE Transactions on Information Theory 67 (5), 3155-3182, 2021 | 25 | 2021 |
| Analysis of KNN information estimators for smooth distributions P Zhao, L Lai IEEE Transactions on Information Theory 66 (6), 3798-3826, 2019 | 22 | 2019 |
| Efficient classification with adaptive KNN P Zhao, L Lai Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11007 …, 2021 | 17 | 2021 |
| A huber loss minimization approach to byzantine robust federated learning P Zhao, F Yu, Z Wan Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21806 …, 2024 | 12 | 2024 |
| Robust nonparametric regression under poisoning attack P Zhao, Z Wan Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17007 …, 2024 | 10 | 2024 |
| Minimax regression via adaptive nearest neighbor P Zhao, L Lai 2019 IEEE International Symposium on Information Theory (ISIT), 1447-1451, 2019 | 9 | 2019 |
| 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 | 7 | 2020 |
| Minimax optimal Q learning with nearest neighbors P Zhao, L Lai IEEE Transactions on Information Theory, 2025 | 5 | 2025 |
| A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy P Zhao, L Lai, L Shen, Q Li, J Wu, Z Liu Thirty-eighth Annual Conference on Neural Information Processing Systems …, 2024 | 5 | 2024 |
| Learn suspected anomalies from event prompts for video anomaly detection C Tao, X Peng, C Wang, J Wu, P Zhao, J Wang, J Qian arXiv preprint arXiv:2403.01169, 2024 | 4 | 2024 |
| High dimensional distributed gradient descent with arbitrary number of byzantine attackers P Zhao, Z Wan arXiv preprint arXiv:2307.13352, 2023 | 4 | 2023 |
| Optimal stochastic nonconvex optimization with bandit feedback P Zhao, L Lai arXiv preprint arXiv:2103.16082, 2021 | 4 | 2021 |
| Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates P Zhao, J Wu, Z Liu, C Wang, R Fan, Q Li arXiv preprint arXiv:2408.09891, 2024 | 3 | 2024 |
| Learning with user-level local differential privacy P Zhao, L Shen, R Fan, Q Li, H Wu, J Wu, Z Liu arXiv preprint arXiv:2405.17079, 2024 | 2 | 2024 |
| CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models H Wu, X Li, D Zhang, X Xu, J Wu, P Zhao, Z Liu arXiv preprint arXiv:2405.13746, 2024 | 2 | 2024 |
| On the convergence rates of KNN density estimation P Zhao, L Lai 2021 IEEE International Symposium on Information Theory (ISIT), 2840-2845, 2021 | 2 | 2021 |
| Nearest neighbor methods with applications in functional estimation and machine learning P Zhao University of California, Davis, 2021 | 2 | 2021 |
| Nonparametric direct entropy difference estimation P Zhao, L Lai 2018 IEEE Information Theory Workshop (ITW), 1-5, 2018 | 2 | 2018 |
Lifeng LaiProfessor, University of California, DavisПотвърден имейл адрес: ucdavis.edu
