Exploring the Trade-Off in the Variational Information Bottleneck for Regression with a Single Training Run

Exploring the Trade-Off in the Variational Information Bottleneck for Regression with a Single Training Run

An information bottleneck (IB) enables the acquisition of useful representations from data by retaining necessary information while reducing unnecessary information. In its objective function, the Lagrange multiplier <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"...

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Bibliographic Details
Main Authors: Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Entropy
Subjects:
information bottleneck
deep learning
regression model
supervised learning
Online Access:https://www.mdpi.com/1099-4300/26/12/1043
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