A theoretical understanding of self-paced learning
type: Item
instance of: scholarly article
title: A theoretical understanding of self-paced learning
zbMATH Open document ID: 1435.68278
author: Qian Zhao
author: Lu Jiang
author: Deyu Meng
published in: Information Sciences
publication date: 2020-07-02T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7216888
zbMATH Keywords: self-paced learning
zbMATH Keywords: curriculum learning
zbMATH Keywords: multimedia event detection
zbMATH Keywords: non-convex regularized penalty
describes a project that uses: AlexNet
describes a project that uses: ImageNet
MaRDI profile type: Publication
full work available at URL: j.ins.2017.05.043
OpenAlex ID: W2620239873
cites work: Enhancing sparsity by reweighted \(\ell _{1}\) minimization
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Stochastic gradient boosting.
cites work: Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression
cites work: Q3378793
cites work: Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
cites work: 10.1162/153244303322753751
cites work: Nearly unbiased variable selection under minimax concave penalty
cites work: A general theory of concave regularization for high-dimensional sparse estimation problems
cites work: Analysis of multi-stage convex relaxation for sparse regularization
DOI: 10.1016/J.INS.2017.05.043
description: scientific article; zbMATH DE number 7216888