Approximation bounds for norm constrained neural networks with
applications to regression and GANs

Approximation bounds for norm constrained neural networks with applications to regression and GANs

24 January 2022

Yuling Jiao

Papers citing "Approximation bounds for norm constrained neural networks with applications to regression and GANs"

6 / 6 papers shown

Title
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 34 1 0 12 Oct 2024
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks Yunfei Yang 27 2 0 02 Sep 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu Yuling Jiao Li Shen Haizhao Yang Xiliang Lu OffRL 11 1 0 19 Dec 2023
Distribution estimation and change-point estimation for time series via DNN-based GANs Jianya Lu Ying Mo Zhijie Xiao Lihu Xu Qiuran Yao AI4TS 18 0 0 26 Nov 2022
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Quynh N. Nguyen 28 49 0 24 Jan 2021
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 551 0 27 Feb 2015