Zhao, Puning

10 publications

ICML 2025 Contextual Bandits for Unbounded Context Distributions Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng

AAAI 2025 Differential Private Stochastic Optimization with Heavy-Tailed Data: Towards Optimal Rates Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li

NeurIPS 2025 Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao

NeurIPS 2025 Efficient Federated Learning Against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen, Puning Zhao, Jie Xu, Han Hu

ICLR 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li

ICML 2025 Multinoulli Extension: A Lossless yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao

AAAI 2024 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao, Fei Yu, Zhiguo Wan

NeurIPS 2024 A Huber Loss Minimization Approach to Mean Estimation Under User-Level Differential Privacy Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu

AAAI 2024 Robust Nonparametric Regression Under Poisoning Attack Puning Zhao, Zhiguo Wan

AAAI 2021 Efficient Classification with Adaptive KNN Puning Zhao, Lifeng Lai