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Papers
Exploring Selective Avoidance for Online User Behavior Analysis: A Forest of Thought Explanation
AAAI 2026
Control in Computational Social Choice
IJCAI 2025
Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques
IJCAI 2025
Explainable Graph Neural Networks via Structural Externalities
IJCAI 2025
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
AAAI 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
AISTATS 2025
Axiomatic Aggregations of Abductive Explanations
AAAI 2024
Fair and Efficient Contribution Valuation for Vertical Federated Learning
ICLR 2024
Faster Approximation of Probabilistic and Distributional Values via Least Squares
ICLR 2024
Open Ad Hoc Teamwork with Cooperative Game Theory
ICML 2024
Redefining Contributions: Shapley-Driven Federated Learning
IJCAI 2024
Commitment Games with Conditional Information Disclosure
AAAI 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
AISTATS 2023
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
CVPR 2023
Explainable Shapley-Based Allocation (Student Abstract)
AAAI 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
NeurIPS 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
ICML 2022
The Shapley Value in Machine Learning
IJCAI 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
JMLR 2022
A Game-Theoretic Account of Responsibility Allocation
IJCAI 2021
Coalition Formation in Multi-defender Security Games
AAAI 2021
Computing the Proportional Veto Core
AAAI 2021
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index
NAACL 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models
ACL 2021