Puning Zhao

According to our database, Puning Zhao authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Soft Label PU Learning.

Puning Zhao, Jintao Deng, Xu Cheng

CoRR, 2024

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning.

Puning Zhao, Fei Yu, Zhiguo Wan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Robust Nonparametric Regression under Poisoning Attack.

Puning Zhao, Zhiguo Wan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Minimax Optimal Q Learning with Nearest Neighbors.

Puning Zhao, Lifeng Lai

CoRR, 2023

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers.

Puning Zhao, Zhiguo Wan

CoRR, 2023

Entropy Rate Estimation for Markov Chains with Continuous Distributions.

Puning Zhao, Lifeng Lai

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Analysis of KNN Density Estimation.

Puning Zhao, Lifeng Lai

IEEE Trans. Inf. Theory, 2022

2021

Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression.

Puning Zhao, Lifeng Lai

IEEE Trans. Inf. Theory, 2021

Optimal Stochastic Nonconvex Optimization with Bandit Feedback.

Puning Zhao, Lifeng Lai

CoRR, 2021

On the Convergence Rates of KNN Density Estimation.

Puning Zhao, Lifeng Lai

Proceedings of the IEEE International Symposium on Information Theory, 2021

Efficient Classification with Adaptive KNN.

Puning Zhao, Lifeng Lai

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Minimax Optimal Estimation of KL Divergence for Continuous Distributions.

Puning Zhao, Lifeng Lai

IEEE Trans. Inf. Theory, 2020

Analysis of KNN Information Estimators for Smooth Distributions.

Puning Zhao, Lifeng Lai

IEEE Trans. Inf. Theory, 2020

Analysis of K Nearest Neighbor KL Divergence Estimation for Continuous Distributions.

Puning Zhao, Lifeng Lai

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Minimax Regression via Adaptive Nearest Neighbor.

Puning Zhao, Lifeng Lai

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Nonparametric Direct Entropy Difference Estimation.

Puning Zhao, Lifeng Lai

Proceedings of the IEEE Information Theory Workshop, 2018

2017

Progressive tone mapping of brain images at single-neuron resolution.

Puning Zhao, Zhiwei Xiong, Dong Liu, Hao Wang, Chaoyu Yang, Lufeng Ding, Weiping Ding, Zheng-Jun Zha, Guoqiang Bi, Feng Wu

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017