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Systems and methods for large-scale randomized optimization for problems with decomposable loss functions

机译:具有可分解损失函数的问题的大规模随机优化系统和方法

摘要

Systems and methods directed toward processing optimization problems using loss functions, wherein a loss function is decomposed into at least one stratum loss function, a loss is decreased for each stratum loss function to a predefined stratum loss threshold individually using gradient descent, and the overall loss is decreased to a predefined threshold for the loss function by appropriately ordering the processing of the strata and spending appropriate processing time in each stratum. Other embodiments and aspects are also described herein.
机译:针对使用损失函数来处理优化问题的系统和方法,其中将损失函数分解为至少一个层次损失函数,将每个层次损失函数的损失分别减小到使用梯度下降的预定层次损失阈值,以及总损失通过适当地对层的处理进行排序并在每个层中花费适当的处理时间,可以将α降低到损失函数的预定阈值。本文还描述了其他实施例和方面。

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