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NeurIPS 2025

Faithful Group Shapley Value

Kiljae Lee*, Ziqi Liu*, Weijing Tang, and Yuan Zhang

Best Paper Award Honorable Mention · ICML 2025 DataWorld Workshop

Overview

Faithful Group Shapley Value addresses group-level data valuation when data providers contribute batches of data. The paper identifies a strategic group-splitting vulnerability in existing approaches and proposes a faithful valuation method with efficient approximation algorithms.

* Equal contribution

Citation

Lee, K., Liu, Z., Tang, W., and Zhang, Y. (2025). "Faithful Group Shapley Value." Advances in Neural Information Processing Systems (NeurIPS). ICML 2025 DataWorld Workshop Best Paper Award Honorable Mention.

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