NTT Data Corporation, Japan; Graduate School of Information Science and Technology, The University of Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN, Japan; iPride Co., Ltd., Japan
Generalization error;compression based bound;local Rademacher complexity
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network