ICML 2026
Priority-Aware Shapley Value
Overview
Priority-Aware Shapley Value (PASV) extends Shapley-based attribution to settings where contributors are not fully interchangeable. The method incorporates both hard precedence constraints and soft priority weights, with applications to data valuation and feature attribution.
Citation
Lee, K., Liu, Z., Tang, W., and Zhang, Y. (2026). "Priority-Aware Shapley Value." International Conference on Machine Learning (ICML).
More publications
All publications- NeurIPS · 2026 Generalized Priority-Aware Shapley Value
- ICML NExT-Game Workshop · 2026 First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
- Journal of Applied Statistics · 2026 Bayesian Hierarchical Time-Varying Distributed Lag Nonlinear Model: Applications in the Short-Term Association between Ambient Temperature and Daily Confirmed Cases of COVID-19
- NeurIPS · 2025 Faithful Group Shapley Value
- ICLR · 2025 Leave-One-Out Stable Conformal Prediction