Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design. - Jianfa Lai; Lin-Chen Weng; Xiaoling Peng; Kai-Tai Fang (Comput. Stat. Data Anal., 2022)

Generalization Ability of Wide Neural Networks on ℝ. - Jianfa Lai; Manyun Xu; Rui Chen; Qian Lin (CoRR, 2023)

Generalization Ability of Wide Residual Networks. - Jianfa Lai; Zixiong Yu; Songtao Tian; Qian Lin (CoRR, 2023)

The optimality of kernel classifiers in Sobolev space. - Jianfa Lai; Zhifan Li; Dongming Huang; Qian Lin (ICLR, 2024)

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories. - Haobo Zhang 004; Jianfa Lai; Yicheng Li; Qian Lin; Jun S. Liu (CoRR, 2024)

Construction of uniform designs over continuous domain in computer experiments. - Jianfa Lai; Kai-Tai Fang; Xiaoling Peng; Yuxuan Lin 003 (Commun. Stat. Simul. Comput., 2024)