Minimax optimal high-dimensional classification using deep neural networks

4 March 2023

Papers citing "Minimax optimal high-dimensional classification using deep neural networks"

12 / 12 papers shown

Title
Convergence rates of deep ReLU networks for multiclass classification Thijs Bos Johannes Schmidt-Hieber 44 22 0 02 Aug 2021
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks Kexuan Li Fangfang Wang Ruiqi Liu Fan Yang Zuofeng Shang 43 7 0 07 Jun 2021
Minimax Classification with 0-1 Loss and Performance Guarantees Santiago Mazuelas Andrea Zanoni Aritz Pérez Martínez 16 13 0 15 Oct 2020
On Deep Instrumental Variables Estimate Ruiqi Liu Zuofeng Shang Guang Cheng 33 27 0 30 Apr 2020
Sharp Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting Tianyang Hu Zuofeng Shang Guang Cheng 99 19 0 19 Jan 2020
Optimal Nonparametric Inference via Deep Neural Network Ruiqi Liu B. Boukai Zuofeng Shang 38 19 0 05 Feb 2019
Fast convergence rates of deep neural networks for classification Yongdai Kim Ilsang Ohn Dongha Kim 3DH 3DV 21 80 0 10 Dec 2018
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 95 88 0 24 Mar 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 77 804 0 22 Aug 2017
A Minimax Approach to Supervised Learning Farzan Farnia David Tse 130 107 0 07 Jun 2016
The Mahalanobis distance for functional data with applications to classification E. Joseph Pedro Galeano R. Lillo 33 97 0 17 Apr 2013
Fast learning rates for plug-in classifiers Jean-Yves Audibert Alexandre B. Tsybakov 255 467 0 17 Aug 2007