Yang, Pengkun

13 publications

COLT 2025 Fast and Multiphase Rates for Nearest Neighbor Classifiers Pengkun Yang, Jingzhao Zhang

COLT 2025 Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models Yichen Lyu, Pengkun Yang

TMLR 2025 On the Convergence Rates of Federated Q-Learning Across Heterogeneous Environments Muxing Wang, Pengkun Yang, Lili Su

ICML 2025 Sample Complexity of Correlation Detection in the Gaussian Wigner Model Dong Huang, Pengkun Yang

NeurIPSW 2024 Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang

AAAI 2024 Deep Active Learning with Noise Stability Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu

COLT 2024 Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs Dong Huang, Xianwen Song, Pengkun Yang

NeurIPSW 2024 On the Convergence Rates of Federated Q-Learning Across Heterogeneous Environments Muxing Wang, Pengkun Yang, Lili Su

JMLR 2023 A Non-Parametric View of FedAvg and FedProx:Beyond Stationary Points Lili Su, Jiaming Xu, Pengkun Yang

AAAI 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

NeurIPS 2022 Global Convergence of Federated Learning for Mixed Regression Lili Su, Jiaming Xu, Pengkun Yang

COLT 2021 Modeling from Features: A Mean-Field Framework for Over-Parameterized Deep Neural Networks Cong Fang, Jason Lee, Pengkun Yang, Tong Zhang

NeurIPS 2019 On Learning Over-Parameterized Neural Networks: A Functional Approximation Perspective Lili Su, Pengkun Yang