Algorithms for Hyper-Parameter Optimization - NeurIPS

tion of CPU cycles includes more hyper-parameter exploration than has been typical in the machine learning literature. Hyper-parameter optimization is the problem of optimizing a loss function over a graph-structured configuration space. In this work we restrict ourselves to tree-structured configuration spaces. Con-

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