algorithmic fairness

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning ICML 2019 Paradoxes in Fair Machine Learning NeurIPS 2019 Path-Specific Counterfactual Fairness AAAI 2019 The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric NeurIPS 2019 The many dimensions of algorithmic fairness in educational applications ACL 2019 The Price of Local Fairness in Multistage Selection IJCAI 2019 The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019 Wasserstein Fair Classification UAI 2019 Achieving Non-Discrimination in Prediction IJCAI 2018 Does mitigating ML's impact disparity require treatment disparity? NeurIPS 2018 Empirical Risk Minimization Under Fairness Constraints NeurIPS 2018 Equality of Opportunity in Classification: A Causal Approach NeurIPS 2018 Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making NeurIPS 2018 Fairness Through Computationally-Bounded Awareness NeurIPS 2018 Hunting for Discriminatory Proxies in Linear Regression Models NeurIPS 2018 On preserving non-discrimination when combining expert advice NeurIPS 2018 Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer NeurIPS 2018 Preventing Disparate Treatment in Sequential Decision Making IJCAI 2018 Probably Approximately Metric-Fair Learning ICML 2018 The Price of Fair PCA: One Extra dimension NeurIPS 2018 Why Is My Classifier Discriminatory? NeurIPS 2018 Beyond Parity: Fairness Objectives for Collaborative Filtering NeurIPS 2017 Counterfactual Fairness NeurIPS 2017 Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017 Learning Non-Discriminatory Predictors COLT 2017