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Zhenqian Shen

1 accepted papers

2023

Efficient Hyper-parameter Optimization with Cubic Regularization

NeurIPS 2023poster

As hyper-parameters are ubiquitous and can significantly affect the model performance, hyper-parameter optimization is extremely important in machine learning. In this paper, we consider a sub-class of hyper-parameter optimization problems, where the hyper-gradients are not available. Such problems…

Cited by 2SourcePDFScholar