algorithmic fairness

Fairness and Accuracy under Domain Generalization ICLR 2023 Fairness and Explainability: Bridging the Gap towards Fair Model Explanations AAAI 2023 Fairness Concepts for Indivisible Items with Externalities AAAI 2023 Fair Survival Time Prediction via Mutual Information Minimization MLHC 2023 Fair Without Leveling Down: A New Intersectional Fairness Definition EMNLP 2023 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data ICLR 2023 Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023 Hey, Siri! Why Are You Biased against Women? (Student Abstract) AAAI 2023 Improving Fair Training under Correlation Shifts ICML 2023 Investigating anatomical bias in clinical machine learning algorithms EACL 2023 Learning to Generate Equitable Text in Dialogue from Biased Training Data ACL 2023 LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023 Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023 Loss Balancing for Fair Supervised Learning ICML 2023 Matrix Estimation for Individual Fairness ICML 2023 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023 Omnipredictors for Constrained Optimization ICML 2023 On the Cost of Demographic Parity in Influence Maximization AAAI 2023 On the Fairness Impacts of Private Ensembles Models IJCAI 2023 On the Impact of Algorithmic Recourse on Social Segregation ICML 2023 Promoting Fairness in Classification of Quality of Medical Evidence ACL 2023 Pushing the Limits of Fairness in Algorithmic Decision-Making IJCAI 2023 Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition NeurIPS 2023 Searching for Fairer Machine Learning Ensembles AutoML 2023 Some Voices are Too Common: Building Fair Speech Recognition Systems Using the CommonVoice Dataset Interspeech 2023