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Data Shapley: Equitable Valuation of Data for Machine Learning

2019 inproceedings ghorbani2019data
Authors
Amirata Ghorbani, James Zou
Venue
Proceedings of the 36th International Conference on Machine Learning (ICML)
Abstract
Proposes data Shapley as a metric to quantify the value of each training datum to predictor performance, satisfying equitable data valuation properties from cooperative game theory.