Lv, Shaogao

6 publications

IJCAI 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang

JMLR 2023 Kernel-Based Estimation for Partially Functional Linear Model: Minimax Rates and Randomized Sketches Shaogao Lv, Xin He, Junhui Wang

IJCAI 2023 Stability and Generalization of Lp-Regularized Stochastic Learning for GCN Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li

JMLR 2022 Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions Shaogao Lv, Heng Lian

NeurIPS 2021 Improved Learning Rates of a Functional Lasso-Type SVM with Sparse Multi-Kernel Representation Shaogao Lv, Junhui Wang, Jiankun Liu, Yong Liu

JMLR 2016 Model-Free Variable Selection in Reproducing Kernel Hilbert Space Lei Yang, Shaogao Lv, Junhui Wang