Co-occurring keywords · papers mentioning both
Papers
Beyond Bounds: Quantifying the Probability of Counterfactual Fairness
UAI 2026
Consistent End-to-End Estimation for Counterfactual Fairness
CLeaR 2026
Counterfactual Fairness with Imperfect Causal Graphs
AAAI 2026
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
AAAI 2026
Causal Logistic Bandits with Counterfactual Fairness Constraints
ICML 2025
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
ICML 2025
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport
IJCAI 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
UAI 2025
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
AAAI 2025
Towards counterfactual fairness through auxiliary variables
ICLR 2025
Towards Fairness Assessment of Dutch Hate Speech Detection
ACL 2025
An Information-Flow Perspective on Algorithmic Fairness
AAAI 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NeurIPS 2024
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes
ACML 2024
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
EMNLP 2024
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
NeurIPS 2024
Imposing Fairness Constraints in Synthetic Data Generation
AISTATS 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
IJCAI 2024
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
EACL 2024
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
NeurIPS 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
EMNLP 2023
Counterfactual Fairness Is Basically Demographic Parity
AAAI 2023
Counterfactually Fair Representation
NeurIPS 2023
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations
ICML 2023
Mitigating Source Bias for Fairer Weak Supervision
NeurIPS 2023