Fast convergence rates of deep neural networks for classification

Fast convergence rates of deep neural networks for classification

10 December 2018

Papers citing "Fast convergence rates of deep neural networks for classification"

19 / 19 papers shown

Title
Minimax learning rates for estimating binary classifiers under margin conditions Jonathan García Philipp Petersen 9 0 0 15 May 2025
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition Nathanael Tepakbong Ding-Xuan Zhou Xiang Zhou 46 0 0 13 May 2025
Learning Guarantee of Reward Modeling Using Deep Neural Networks Yuanhang Luo Yeheng Ge Ruijian Han Guohao Shen 36 0 0 10 May 2025
High-dimensional classification problems with Barron regular boundaries under margin conditions Jonathan García Philipp Petersen 81 1 0 10 Dec 2024
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks Yunfei Yang 64 2 0 02 Sep 2024
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes Hyunouk Ko Xiaoming Huo 42 1 0 08 Jan 2024
Statistical learning by sparse deep neural networks Felix Abramovich BDL 26 1 0 15 Nov 2023
Minimax optimal high-dimensional classification using deep neural networks Shuoyang Wang Zuofeng Shang 36 3 0 04 Mar 2023
Sparse-penalized deep neural networks estimator under weak dependence William Kengne Modou Wade 26 6 0 02 Mar 2023
Deep learning for $ψ$ -weakly dependent processes William Kengne Wade Modou AI4CE 20 1 0 01 Feb 2023
Optimal Convergence Rates of Deep Neural Networks in a Classification Setting Josephine T. Meyer 30 2 0 25 Jul 2022
Learning ReLU networks to high uniform accuracy is intractable Julius Berner Philipp Grohs F. Voigtlaender 32 4 0 26 May 2022
Deep Neural Network Classifier for Multi-dimensional Functional Data Shuoyang Wang Guanqun Cao Zuofeng Shang 34 12 0 17 May 2022
Optimal learning of high-dimensional classification problems using deep neural networks P. Petersen F. Voigtlaender 33 10 0 23 Dec 2021
Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu Jun Wang Wei Cao Zhenguo Li UQCV AAML 41 19 0 07 Dec 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 25 1 0 06 Oct 2021
Convergence rates of deep ReLU networks for multiclass classification Thijs Bos Johannes Schmidt-Hieber 32 22 0 02 Aug 2021
On Deep Instrumental Variables Estimate Ruiqi Liu Zuofeng Shang Guang Cheng 26 26 0 30 Apr 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,553 0 25 Jan 2016