most citedAsymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks

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stat.ML2021★ 1 cited

Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks

Ryumei Nakada, Masaaki Imaizumi

We investigate the asymptotic risk of a general class of overparameterized likelihood models, including deep models. The recent empirical success of large-scale models has motivate…

stat.ML2019

Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality

Ryumei Nakada, Masaaki Imaizumi

In this study, we prove that an intrinsic low dimensionality of covariates is the main factor that determines the performance of deep neural networks (DNNs). DNNs generally provide…