counterfactual fairness

Achieving Counterfactual Fairness for Causal Bandit AAAI 2022 Counterfactual Fairness with Partially Known Causal Graph NeurIPS 2022 Fair Classification with Instance-dependent Label Noise CLeaR 2022 Flexible text generation for counterfactual fairness probing NAACL 2022 On the Fairness of Causal Algorithmic Recourse AAAI 2022 Selection, Ignorability and Challenges With Causal Fairness CLeaR 2022 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder AAAI 2021 Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021 Towards a unified framework for fair and stable graph representation learning UAI 2021 An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020 FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020 Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019 Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 2019 Making Decisions that Reduce Discriminatory Impacts ICML 2019 Path-Specific Counterfactual Fairness AAAI 2019 PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NeurIPS 2019 The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019 Equality of Opportunity in Classification: A Causal Approach NeurIPS 2018 Counterfactual Fairness NeurIPS 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017