Convergence rates of deep ReLU networks for multiclass classification

2 August 2021

Papers citing "Convergence rates of deep ReLU networks for multiclass classification"

18 / 18 papers shown

Title
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition Nathanael Tepakbong Ding-Xuan Zhou Xiang Zhou 39 0 0 13 May 2025
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 66 0 0 21 Apr 2025
How many samples are needed to train a deep neural network? Pegah Golestaneh Mahsa Taheri Johannes Lederer 34 4 0 26 May 2024
Misclassification bounds for PAC-Bayesian sparse deep learning The Tien Mai UQCV BDL 55 3 0 02 May 2024
On the rates of convergence for learning with convolutional neural networks Yunfei Yang Han Feng Ding-Xuan Zhou 40 3 0 25 Mar 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 39 1 0 08 Jan 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks Tiancong Zhou X. Huo 11 4 0 15 Aug 2023
Multiclass classification for multidimensional functional data through deep neural networks Shuoyang Wang Guanqun Cao 23 4 0 22 May 2023
Minimax optimal high-dimensional classification using deep neural networks Shuoyang Wang Zuofeng Shang 33 3 0 04 Mar 2023
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions Kazuhiko Shinoda T. Hoshino CML 28 0 0 26 Dec 2022
Automatic Change-Point Detection in Time Series via Deep Learning Jie Li Paul Fearnhead Piotr Fryzlewicz Teng Wang AI4TS 13 16 0 07 Nov 2022
Optimal Convergence Rates of Deep Neural Networks in a Classification Setting Josephine T. Meyer 27 2 0 25 Jul 2022
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary Tianyang Hu Ruiqi Liu Zuofeng Shang Guang Cheng 22 3 0 04 Jul 2022
Deep Neural Network Classifier for Multi-dimensional Functional Data Shuoyang Wang Guanqun Cao Zuofeng Shang 29 12 0 17 May 2022
Analysis of convolutional neural network image classifiers in a rotationally symmetric model Michael Kohler Benjamin Kohler 17 5 0 11 May 2022
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions Zhiying Fang Guang Cheng MLT 16 2 0 24 Feb 2022
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 11 3 0 01 May 2021
Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model Michael Kohler S. Langer 17 17 0 27 Nov 2020