Li, Shaojie

15 publications

NeurIPS 2025 Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$ Bowei Zhu, Shaojie Li, Mingyang Yi, Yong Liu

IJCAI 2025 Towards Improved Risk Bounds for Transductive Learning Bowei Zhu, Shaojie Li, Yong Liu

ICML 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses Shaojie Li, Bowei Zhu, Yong Liu

ICML 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables Shaojie Li, Yong Liu

JMLR 2024 Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails Shaojie Li, Yong Liu

IJCAI 2024 Towards Sharper Risk Bounds for Minimax Problems Bowei Zhu, Shaojie Li, Yong Liu

ICML 2023 Distribution-Dependent McDiarmid-Type Inequalities for Functions of Unbounded Interaction Shaojie Li, Yong Liu

ICLR 2023 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses Xiaolin Hu, Shaojie Li, Yong Liu

CVPRW 2023 Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation Yifeng Shi, Feng Lv, Xinliang Wang, Chunlong Xia, Shaojie Li, Shujie Yang, Teng Xi, Gang Zhang

AAAI 2023 Understanding the Generalization Performance of Spectral Clustering Algorithms Shaojie Li, Sheng Ouyang, Yong Liu

ICLR 2022 High Probability Generalization Bounds with Fast Rates for Minimax Problems Shaojie Li, Yong Liu

ICML 2022 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails Shaojie Li, Yong Liu

NeurIPS 2021 Revisiting Discriminator in GAN Compression: A Generator-Discriminator Cooperative Compression Scheme Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji

ICML 2021 Sharper Generalization Bounds for Clustering Shaojie Li, Yong Liu

NeurIPS 2021 Towards Sharper Generalization Bounds for Structured Prediction Shaojie Li, Yong Liu