Variable Selection Using Deep Variational Information Bottleneck with Drop-Out-One Loss

Variable Selection Using Deep Variational Information Bottleneck with Drop-Out-One Loss

The information bottleneck (IB) model aims to find the optimal representations of input variables with respect to the response variable. While it has been widely used in the machine-learning community, research from the perspective of the information-theoretic method has been rarely reported regardi...

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Bibliographic Details
Main Authors: Junlong Pan, Weifu Li, Liyuan Liu, Kang Jia, Tong Liu, Fen Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
information bottleneck
drop-out-one loss
variable selection
deep learning
Online Access:https://www.mdpi.com/2076-3417/13/5/3008

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