论文标题
关于Pac-Bayes边界有效评估的注释
A Note on the Efficient Evaluation of PAC-Bayes Bounds
论文作者
论文摘要
当利用Pac-Bayes理论进行风险认证时，通常有必要估算和约束Pac-bayes后部风险。文献中的许多作品采用了一种方法，需要大量数据集，从而产生高计算成本。该手稿提出了一种非常通用的替代方案，可在数据集大小的顺序上节省计算。
When utilising PAC-Bayes theory for risk certification, it is usually necessary to estimate and bound the Gibbs risk of the PAC-Bayes posterior. Many works in the literature employ a method for this which requires a large number of passes of the dataset, incurring high computational cost. This manuscript presents a very general alternative which makes computational savings on the order of the dataset size.
