Many problems in machine learning write as the minimization of a sum of individual loss functions over the training examples. These functions are usually differentiable but, in some cases, their gr...

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容忍延迟的分布式 Bregman 近端算法

机器学习中的许多问题都表现为训练样本上各个损失函数总和的最小化。这些函数通常是可微的，但在某些情况下，它们的...