The University of Tokyo, Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan; Japan Digital Design, Tokyo, Japan
Taiji Suzuki
deep learning theory;approximation analysis;generalization error analysis;Besov space;minimax optimality
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality