Fairness

On Making Stochastic Classifiers Deterministic NeurIPS 2019 On Measuring Gender Bias in Translation of Gender-neutral Pronouns ACL 2019 On Measuring Social Biases in Sentence Encoders NAACL 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 On Strategyproof Conference Peer Review IJCAI 2019 On the Accuracy of Influence Functions for Measuring Group Effects NeurIPS 2019 On the Fairness of Disentangled Representations NeurIPS 2019 On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning ICML 2019 Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals JMLR 2019 Optimizing Generalized Rate Metrics with Three Players NeurIPS 2019 Paradoxes in Fair Machine Learning NeurIPS 2019 Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints AAAI 2019 Path-Specific Counterfactual Fairness AAAI 2019 PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NeurIPS 2019 Perturbation Sensitivity Analysis to Detect Unintended Model Biases EMNLP 2019 Policy Learning for Fairness in Ranking NeurIPS 2019 Portioning Using Ordinal Preferences: Fairness and Efficiency IJCAI 2019 Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019 Proportionally Fair Clustering ICML 2019 Proposed Taxonomy for Gender Bias in Text; A Filtering Methodology for the Gender Generalization Subtype ACL 2019 Racial Bias in Hate Speech and Abusive Language Detection Datasets ACL 2019 Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019 Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis ACL 2019 Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions ICML 2019 REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019