algorithmic fairness

All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021 An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NeurIPS 2021 Assessing Fairness in the Presence of Missing Data NeurIPS 2021 Budget-feasible Maximum Nash Social Welfare is Almost Envy-free IJCAI 2021 Certifying Robustness to Programmable Data Bias in Decision Trees NeurIPS 2021 Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021 Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021 Counterfactual Explanations Can Be Manipulated NeurIPS 2021 Decision Making with Differential Privacy under a Fairness Lens IJCAI 2021 Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021 Does enforcing fairness mitigate biases caused by subpopulation shift? NeurIPS 2021 Environment Inference for Invariant Learning ICML 2021 Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021 Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021 Fair Feature Distillation for Visual Recognition CVPR 2021 Fairness and Bias in Online Selection ICML 2021 Fair Sortition Made Transparent NeurIPS 2021 Gender and Racial Fairness in Depression Research using Social Media EACL 2021 Individually Fair Gradient Boosting ICLR 2021 Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling AAAI 2021 Oblivious Data for Fairness with Kernels JMLR 2021 On the Problem of Underranking in Group-Fair Ranking ICML 2021 Post-processing for Individual Fairness NeurIPS 2021 Protecting the Protected Group: Circumventing Harmful Fairness AAAI 2021 Retiring Adult: New Datasets for Fair Machine Learning NeurIPS 2021