Papers10:48Chinese content自归一化Bernstein不等式扩展到再生过程,适用于非独立同分布数据学习一篇纯理论论文,把Bernstein不等式推广到再生过程,让泛化误差界不再依赖独立同分布假设,还给出了极小化最优性证明。#generalization error#non-IID data#statistical learning theoryaarXiv cs.LG@Imon Banerjee, Pierre AlquierSourceRead laterReadWorth followingUsefulFollow generalization error
Papers11:42Chinese content核脊回归在幂律各向异性下的渐近分析这篇论文揭示了数据各向异性如何影响核脊回归的学习曲线,对理解高维机器学习理论有重要价值。#generalization error#kernel ridge regressionaarXiv cs.LG@Lorenzo Rizzi et al. (3)SourceRead laterReadWorth followingUsefulFollow generalization error
Papers11:03Chinese content基于局部鲁棒性与稳定性的深度学习模型泛化误差上界这篇论文提出了更紧的深度学习泛化误差上界,在ImageNet上比现有方法更准,值得一看。#generalization error#robustness#ImageNet#deep learningaarXiv cs.LG@Abdul-Rauf Nuhu et al. (6)SourceRead laterReadWorth followingUsefulFollow generalization error