2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
NeurIPS 2024poster
Machine learning systems often acquire biases by leveraging undesired features in the data, impacting accuracy variably across different sub-populations of the data. However, our current understanding of bias formation mostly focuses on the initial and final stages of learning, leaving a gap in know…