Pengkun Yang

According to our database, Pengkun Yang authored at least 28 papers between 2013 and 2025.

Collaborative distances:

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

2025

On the Best Approximation by Finite Gaussian Mixtures.

Yun Ma, Yihong Wu, Pengkun Yang

IEEE Trans. Inf. Theory, July, 2025

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments.

Muxing Wang, Pengkun Yang, Lili Su

Trans. Mach. Learn. Res., 2025

Fast and Multiphase Rates for Nearest Neighbor Classifiers.

Pengkun Yang, Jingzhao Zhang

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models.

Yichen Lyu, Pengkun Yang

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Global Convergence of Federated Learning for Mixed Regression.

Lili Su, Jiaming Xu, Pengkun Yang

IEEE Trans. Inf. Theory, September, 2024

Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms.

Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang

CoRR, 2024

Optimization of the front-mounted fertilizer pipe strip rotary tillage device by modeling the wide-seedbed characteristics and power consumption.

Pengfei Zhao, Xiaojun Gao, Xiaoteng Ju, Pengkun Yang, Qingbin Song, Yuxiang Huang, Zhiqi Zheng

Comput. Electron. Agric., 2024

Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs.

Dong Huang, Xianwen Song, Pengkun Yang

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Deep Active Learning with Noise Stability.

Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu

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

2023

Semi-supervised transfer learning with hierarchical self-regularization.

Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu

Pattern Recognit., December, 2023

Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics.

Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas

J. Commun. Networks, October, 2023

Age Optimal Sampling Under Unknown Delay Statistics.

Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas

IEEE Trans. Inf. Theory, February, 2023

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points.

Lili Su, Jiaming Xu, Pengkun Yang

J. Mach. Learn. Res., 2023

Two Phases of Scaling Laws for Nearest Neighbor Classifiers.

Pengkun Yang, Jingzhao Zhang

CoRR, 2023

Federated Learning in the Presence of Adversarial Client Unavailability.

Lili Su, Jiaming Xu, Pengkun Yang

CoRR, 2023

2022

Deep Active Learning with Noise Stability.

Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu

CoRR, 2022

Boosting Active Learning via Improving Test Performance.

Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points.

Lili Su, Jiaming Xu, Pengkun Yang

CoRR, 2021

Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks.

Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang

Proceedings of the Conference on Learning Theory, 2021

2020

Polynomial Methods in Statistical Inference: Theory and Practice.

Yihong Wu, Pengkun Yang

Found. Trends Commun. Inf. Theory, 2020

Optimal estimation of high-dimensional Gaussian mixtures.

Natalie Doss, Yihong Wu, Pengkun Yang, Harrison H. Zhou

CoRR, 2020

2019

On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective.

Lili Su, Pengkun Yang

CoRR, 2019

On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective.

Lili Su, Pengkun Yang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Polynomial methods in statistical inference: Theory and practice

Pengkun Yang

PhD thesis, 2018

2016

Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation.

Yihong Wu, Pengkun Yang

IEEE Trans. Inf. Theory, 2016

2015

Optimal entropy estimation on large alphabets via best polynomial approximation.

Yihong Wu, Pengkun Yang

Proceedings of the IEEE International Symposium on Information Theory, 2015

2013

Software defined radio implementation of signaling splitting in hyper-cellular network.

Tao Zhao, Pengkun Yang, Huimin Pan, Ruichen Deng, Sheng Zhou, Zhisheng Niu

Proceedings of the second workshop on Software radio implementation forum, 2013

Per-packet load-balanced, low-latency routing for clos-based data center networks.

Jiaxin Cao, Rui Xia, Pengkun Yang, Chuanxiong Guo, Guohan Lu, Lihua Yuan, Yixin Zheng, Haitao Wu, Yongqiang Xiong, David A. Maltz

Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013