Pengkun Yang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Polynomial Approximation

Karush Kuhn Tucker

Nearest Neighbor Classifiers

Top Venues

IEEE Trans. Inf. Theory

Publications

Dong Huang, Xianwen Song, Pengkun Yang
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs. COLT (2024)
Yun Ma, Yihong Wu, Pengkun Yang
On the best approximation by finite Gaussian mixtures. CoRR (2024)
Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
Deep Active Learning with Noise Stability. AAAI (2024)
Dong Huang, Xianwen Song, Pengkun Yang
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs. CoRR (2024)
Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. 144 (2023)
Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics. CoRR (2023)
Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics. J. Commun. Networks 25 (5) (2023)
Lili Su, Jiaming Xu, Pengkun Yang
Federated Learning in the Presence of Adversarial Client Unavailability. CoRR (2023)
Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Age Optimal Sampling Under Unknown Delay Statistics. IEEE Trans. Inf. Theory 69 (2) (2023)
Pengkun Yang, Jingzhao Zhang
Two Phases of Scaling Laws for Nearest Neighbor Classifiers. CoRR (2023)
Lili Su, Jiaming Xu, Pengkun Yang
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points. J. Mach. Learn. Res. 24 (2023)
Yun Ma, Yihong Wu, Pengkun Yang
On the best approximation by finite Gaussian mixtures. ISIT (2023)
Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
Boosting Active Learning via Improving Test Performance. AAAI (2022)
Lili Su, Jiaming Xu, Pengkun Yang
Global Convergence of Federated Learning for Mixed Regression. NeurIPS (2022)
Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
Deep Active Learning with Noise Stability. CoRR (2022)
Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas
Age Optimal Sampling Under Unknown Delay Statistics. CoRR (2022)
Lili Su, Jiaming Xu, Pengkun Yang
Global Convergence of Federated Learning for Mixed Regression. CoRR (2022)
Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. COLT (2021)
Yihong Wu, Pengkun Yang
Polynomial methods in statistical inference: theory and practice. CoRR (2021)
Lili Su, Jiaming Xu, Pengkun Yang
Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points. CoRR (2021)
Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
Boosting Active Learning via Improving Test Performance. CoRR (2021)
Natalie Doss, Yihong Wu, Pengkun Yang, Harrison H. Zhou
Optimal estimation of high-dimensional Gaussian mixtures. CoRR (2020)
Yihong Wu, Pengkun Yang
Polynomial Methods in Statistical Inference: Theory and Practice. Found. Trends Commun. Inf. Theory 17 (4) (2020)
Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. CoRR (2020)
Lili Su, Pengkun Yang
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective. NeurIPS (2019)
Lili Su, Pengkun Yang
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. CoRR (2019)
Yihong Wu, Pengkun Yang
Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation. IEEE Trans. Inf. Theory 62 (6) (2016)
Yihong Wu, Pengkun Yang
Optimal entropy estimation on large alphabets via best polynomial approximation. ISIT (2015)
Yihong Wu, Pengkun Yang
Minimax rates of entropy estimation on large alphabets via best polynomial approximation. CoRR (2014)
Tao Zhao, Pengkun Yang, Huimin Pan, Ruichen Deng, Sheng Zhou, Zhisheng Niu
Software Defined Radio Implementation of Signaling Splitting in Hyper-Cellular Network. CoRR (2013)
Tao Zhao, Pengkun Yang, Huimin Pan, Ruichen Deng, Sheng Zhou, Zhisheng Niu
Software defined radio implementation of signaling splitting in hyper-cellular network. SRIF@SIGCOMM (2013)
Jiaxin Cao, Rui Xia, Pengkun Yang, Chuanxiong Guo, Guohan Lu, Lihua Yuan, Yixin Zheng, Haitao Wu, Yongqiang Xiong, David A. Maltz
Per-packet load-balanced, low-latency routing for clos-based data center networks. CoNEXT (2013)