The Shapley Value

By Robert J. Aumann. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zheda Mai
2. L. Yu
3. Adrian Weller
4. Zhen Liu
5. Tianyang Hu
6. Marco Ancona
7. Lanqing Hong
8. Dongsub Shim

Citations in the corpus

• Continual Learning by Modeling Intra-Class Variation (2022, methodology): “ASER (Shim et al., 2021) leverages Shapley value (Roth, 1988) to select buffer data.”
• An unexpected unity among methods for interpreting model predictions (2016, positive): “By viewing the model output as an expected value, ES values allow fast approximations in situations where training models on all feature subsets would be intractable.”
• Data Shapley: Equitable Valuation of Data for Machine Learning (2019, methodology): “Shapley value was proposed in a classic paper in game theory (Shapley, 1953) and has been widely influential in economics (Shapley et al., 1988).”
• Boards of Directors as an Endogenously Determined Institution: A Survey of the Economic Literature (2004, unknown): “(1983), Hermalin and Weisbach (1991), Mehran (1995), Klein (1998), and Bhagat and Black (2000) all report insignificant relationships between accounting performance measures and the fraction of outside directors on the board.”
• Adversarial Shapley Value Experience Replay for Task-Free Continual Learning (2020, background): “The SV [30, 29] was originally proposed in cooperative game theory to decide the share of total gains for each player in a coalition.”
• Explainable AI for Trees: From Local Explanations to Global Understanding (2019, unknown): “This class is of particular interest since results from cooperative game theory imply there is a unique optimal explanation approach in the class (the Shapley values) that satisfies several desirable properties [63, 59].”
• Inequality decomposition values: the trade-off between marginality and efficiency (2013, unknown): “In view of both its intuitive appeal and mathematical tractability, the Shapley value has been the focus of much research and applications (see for example the surveys of [1, 5, 12]).”