Nonconvex sparse regularization for deep neural networks and its optimality

Ilsang Ohn, Yongdai Kim

Recent theoretical studies proved that deep neural network (DNN) estimators obtained by minimizing empirical risk with a certain sparsity constraint can attain optimal convergence…