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Oct, 2023
人口下降:基于自然选择的超参数调优框架
Population Descent: A Natural-Selection Based Hyper-Parameter Tuning Framework
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Abhinav Pomalapally, Bassel El Mabsout, Renato Mansuco
TL;DR
我们提出了Population Descent,这是一个专注于超参数优化的模因算法。通过自适应的m优秀个体选择方法和基于标准化适应度的随机化方案,我们展示了这种算法在常见的基准任务上比复杂的现有算法提高了最多13%的性能。
Abstract
first-order gradient descent
has been the base of the most successful optimization algorithms ever implemented. On
supervised learning
problems with very high dimensionality, such as
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