"rademacher complexity" Papers
6 papers found
Conference
Block Coordinate Descent for Neural Networks Provably Finds Global Minima
Shunta Akiyama
NEURIPS 2025arXiv:2510.22667
2
citations
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu et al.
ICLR 2025
1
citations
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
Yilan Chen, Zhichao Wang, Wei Huang et al.
NEURIPS 2025arXiv:2506.11357
1
citations
Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
Matan Schliserman, Tomer Koren
NEURIPS 2025arXiv:2505.22359
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
Xiangyu Yin, Wenjie Ruan
CVPR 2024arXiv:2403.17520
13
citations
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
Shaojie Li, Yong Liu
ICML 2024spotlight