Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Authors
Yongchan Kwon, James Zou
Venue
International Conference on Artificial Intelligence and Statistics (AISTATS)
Abstract
Generalizes Data Shapley using Beta weighting functions, providing noise-reduced data valuation that better handles outliers and mislabeled data detection.
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