Toward Variation-Independent Regression by Composition
Ruixuan Zhao, Oliver Dukes, Linbo Wang, Lin Liu
TL;DR
This paper discusses the concept of 'Regression by Composition' and explores how to develop variation-independent regression methods through compositional approaches.
Contribution
It provides a discussion on the potential for variation-independent regression techniques based on composition, advancing theoretical understanding.
Findings
Highlights the importance of compositional methods in regression.
Identifies challenges in achieving variation independence.
Suggests directions for future research in compositional regression.
Abstract
Discussion on "Regression by Composition" by Farewell, Daniel, Stensrud, and Huitfeldt.
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