Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network

Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network

9 January 2024

Yuling Jiao

Jerry Zhijian Yang

Papers citing "Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network"

8 / 8 papers shown

Title
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 86 3 0 01 May 2023
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks Bangti Jin Xiyao Li Qimeng Quan Zhi Zhou 39 5 0 29 Mar 2023
$Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms$ Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms Ingo Gühring Gitta Kutyniok P. Petersen 60 200 0 21 Feb 2019
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems Richard Nickl Sara van de Geer Sven Wang 29 60 0 24 Sep 2018
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 127 293 0 10 Feb 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 140 805 0 22 Aug 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 139 9,509 0 31 Mar 2017
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 42 207 0 19 Nov 2015