PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting-Reference-Cited by-同舟云学术

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PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting

Published:2019-05 Issue: Volume:171 Page:209-233
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Luu Tung Duy,Fadili Jalal,Chesneau Christophe

Funder

Conseil régional de Basse-Normandie

Institut universitaire de France

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference58 articles.

1. Shape quantization and recognition with randomized trees;Amit;Neural Comput.,1997

2. A simple proof of the Poincaré inequality for a large class of probability measures;Bakry;Electron. Commun. Probab.,2008

3. Analysis of a random forests model;Biau;J. Mach. Learn. Res.,2012

4. On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification;Biau;J. Multivariate Anal.,2010

5. Consistency of random forests and other averaging classifiers;Biau;J. Mach. Learn. Res.,2008

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1. User-friendly Introduction to PAC-Bayes Bounds;Foundations and Trends® in Machine Learning;2024

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