Beyond generalization: a theory of robustness in machine learning

The term robustness is ubiquitous in modern Machine Learning (ML). However, its meaning varies depending on context and community. Researchers either focus on narrow technical definitions, such as adversarial robustness, natural distribution shifts, and performativity, or they simply leave open what...

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Bibliographic Details
Published in:Synthese (Dordrecht) 2023-09, Vol.202 (4), p.109, Article 109
Main Authors: Freiesleben, Timo, Grote, Thomas
Format: Article
Language:English
Subjects:
Analysis
Education
Epistemology
Generalization
Logic
Machine learning
Metaphysics
Original Research
Performativity
Philosophy
Philosophy of Language
Philosophy of Science
Uncertainty
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