algorithmic fairness

Superhuman Fairness ICML 2023 Taxonomizing and Measuring Representational Harms: A Look at Image Tagging AAAI 2023 The Measure and Mismeasure of Fairness JMLR 2023 Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023 WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts NeurIPS 2023 Achieving Fairness at No Utility Cost via Data Reweighing with Influence ICML 2022 Adaptive Data Debiasing through Bounded Exploration NeurIPS 2022 Algorithmic Fairness Verification with Graphical Models AAAI 2022 Anatomizing Bias in Facial Analysis AAAI 2022 A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models CVPR 2022 A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets NeurIPS 2022 Causal Conceptions of Fairness and their Consequences ICML 2022 Causal Explanations and XAI CLeaR 2022 Conformalized Fairness via Quantile Regression NeurIPS 2022 Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning MLHC 2022 Domain Adaptation meets Individual Fairness. And they get along. NeurIPS 2022 EqGNN: Equalized Node Opportunity in Graphs AAAI 2022 Fair and Optimal Decision Trees: A Dynamic Programming Approach NeurIPS 2022 Fair Bayes-Optimal Classifiers Under Predictive Parity NeurIPS 2022 Fair Conformal Predictors for Applications in Medical Imaging AAAI 2022 Fair Generalized Linear Models with a Convex Penalty ICML 2022 Fairness-Aware PAC Learning from Corrupted Data JMLR 2022 Fairness Interventions as (Dis)Incentives for Strategic Manipulation ICML 2022 Fairness Reprogramming NeurIPS 2022 Fair Ranking with Noisy Protected Attributes NeurIPS 2022