Data Leverage References

Proposes G-Value to bridge the gap between leave-one-out (LOO) and Shapley value approaches for data valuation. Addresses practical applications in machine learning data markets.

Huaiguang Cai

Proposes CHG (compound of Hardness and Gradient) utility function to approximate the utility of each data subset, reducing computational complexity to a single model retraining—achieving a quadratic improvement over existing Data Shapley methods.

Amirata Ghorbani, James Zou

Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gurel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos