Generalization Guarantees for Neural Architecture Search with
Train-Validation Split
Samet Oymak 1 Mingchen Li 2 Mahdi Soltanolkotabi 3
Abstract portant for deep learning applications where there are many
Neural Architecture Search (NAS) is a popular possibilities for choosing a variety of hyperparameters to
method for automatically designing optimized achieve the best test accuracy. A crucial application of ...


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