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Aug, 2024
超参数调优方法的比较研究
A Comparative Study of Hyperparameter Tuning Methods
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Subhasis Dasgupta, Jaydip Sen
TL;DR
本研究针对超参数优化的复杂性，探讨了平衡偏差和方差的挑战。通过实证分析，评估了三种超参数调优算法，发现非线性模型在适当调优的情况下显著优于线性模型。研究表明，不同算法在各任务和模型类型下表现各异，因此选择合适的调优方法至关重要。
Abstract
The study emphasizes the challenge of finding the optimal trade-off between bias and variance, especially as hyperparameter optimization increases in complexity. Through
Empirical Analysis
, three
Hyperparameter Tuning
→