NeurIPS 2026
Generalized Priority-Aware Shapley Value
Also presented at the ICML 2026 CTB Workshop
Overview
This work generalizes priority-aware Shapley valuation beyond binary acyclic priority structures. It introduces a random order value on arbitrary directed weighted priority graphs, with applications to settings such as LLM ensemble valuation under cyclic preference graphs.
Citation
Lee, K., Liu, Z., Tang, W., and Zhang, Y. (2026). "Generalized Priority-Aware Shapley Value." Advances in Neural Information Processing Systems (NeurIPS).
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