Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training

Machine learning systems often acquire biases by leveraging undesired features in the data, impacting accuracy variably across different sub-populations. Current understanding of bias formation mostly focuses on the initial and final stages of learning, leaving a gap in knowledge regarding the trans...

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Hauptverfasser:	Jain, Anchit, Nobahari, Rozhin, Baratin, Aristide, Mannelli, Stefano Sarao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Disordered Systems and Neural Networks Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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