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Papers
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
AISTATS 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
NeurIPS 2022
Diffusion Incentives in Cooperative Games
IJCAI 2022
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation
ACL 2022
Efficient Multi-Agent Communication via Shapley Message Value
IJCAI 2022
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
ICLR 2022
Explainable Shapley-Based Allocation (Student Abstract)
AAAI 2022
Explaining Preferences with Shapley Values
NeurIPS 2022
Explanations of Black-Box Models based on Directional Feature Interactions
ICLR 2022
FastSHAP: Real-Time Shapley Value Estimation
ICLR 2022
Greedy modality selection via approximate submodular maximization
UAI 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
NeurIPS 2022
Implications of Model Indeterminacy for Explanations of Automated Decisions
NeurIPS 2022
Improved feature importance computation for tree models based on the Banzhaf value
UAI 2022
Joint Shapley values: a measure of joint feature importance
ICLR 2022
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
CoRL 2022
Linear tree shap
NeurIPS 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
ICML 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
NeurIPS 2022
On Measuring Causal Contributions via do-interventions
ICML 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
ICML 2022
On the Ordinal Invariance of Power Indices on Coalitional Games
IJCAI 2022
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain
NeurIPS 2022
RKHS-SHAP: Shapley Values for Kernel Methods
NeurIPS 2022
Sampling Permutations for Shapley Value Estimation
JMLR 2022