Tighter PAC-Bayes bounds through distribution-dependent priors
type: Item
instance of: scholarly article
title: Tighter PAC-Bayes bounds through distribution-dependent priors
zbMATH Open document ID: 1277.68233
author: Guy Lever
author: François Laviolette
author: John Shawe-Taylor
published in: Theoretical Computer Science
publication date: 2013-03-04T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68Q32
zbMATH DE Number: 6140786
zbMATH Keywords: statistical learning theory
zbMATH Keywords: PAC-Bayes
zbMATH Keywords: localized bounds
zbMATH Keywords: semi-supervised learning
zbMATH Keywords: exponential weights algorithm
zbMATH Keywords: SVM
MaRDI profile type: Publication
full work available at URL: j.tcs.2012.10.013
OpenAlex ID: W1999376700
DOI: 10.1016/J.TCS.2012.10.013
Recommended article: Q5405232
Recommended article: Data Dependent Priors in PAC-Bayes Bounds
Recommended article: Distribution-Dependent PAC-Bayes Priors
Recommended article: A PAC-Bayes Bound for Tailored Density Estimation
Recommended article: Q4645663
Recommended article: PAC-Bayesian bounds for randomized empirical risk minimizers
Recommended article: Q3295542
Recommended article: PAC-Bayes Bounds for Supervised Classification
Recommended article: Learning Theory and Kernel Machines
Recommended article: Some PAC-Bayesian theorems
description: scientific article; zbMATH DE number 6140786