{"total":44,"rows":[{"id":"2207.07068","title":"Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey","created":"2022-07-14","cited_by_count":125,"area":null},{"id":"2102.01685","title":"Agent Incentives: A Causal Perspective","created":"2021-02-02","cited_by_count":51,"area":null},{"id":"2110.15403","title":"Selective Regression Under Fairness Criteria","created":"2021-10-28","cited_by_count":34,"area":null},{"id":"2110.09253","title":"A Sociotechnical View of Algorithmic Fairness","created":"2021-09-27","cited_by_count":24,"area":null},{"id":"2305.16988","title":"Sharp Bounds for Generalized Causal Sensitivity Analysis","created":"2023-05-26","cited_by_count":24,"area":null},{"id":"2204.02947","title":"Marrying Fairness and Explainability in Supervised Learning","created":"2022-04-06","cited_by_count":23,"area":null},{"id":"2403.08743","title":"Prompting Fairness: Integrating Causality to Debias Large Language Models","created":"2024-03-13","cited_by_count":21,"area":null},{"id":"2206.04101","title":"What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective","created":"2022-06-08","cited_by_count":18,"area":null},{"id":"2205.10032","title":"Survey on Fair Reinforcement Learning: Theory and Practice","created":"2022-05-20","cited_by_count":14,"area":null},{"id":"2209.07463","title":"Omnipredictors for Constrained Optimization","created":"2022-09-15","cited_by_count":14,"area":null},{"id":"2302.06975","title":"A Review of the Role of Causality in Developing Trustworthy AI Systems","created":"2023-02-14","cited_by_count":14,"area":null},{"id":"2109.00173","title":"FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes","created":"2021-09-01","cited_by_count":13,"area":null},{"id":"2206.11423","title":"Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing","created":"2022-06-22","cited_by_count":11,"area":null},{"id":"2303.08516","title":"Fair Off-Policy Learning from Observational Data","created":"2023-03-15","cited_by_count":11,"area":null},{"id":"2202.10816","title":"Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness","created":"2022-02-22","cited_by_count":10,"area":null},{"id":"2311.18460","title":"Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework","created":"2023-11-30","cited_by_count":10,"area":null},{"id":"2309.17337","title":"Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools","created":"2023-09-29","cited_by_count":7,"area":null},{"id":"2104.02532","title":"End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning","created":"2021-04-06","cited_by_count":6,"area":null},{"id":"2205.09622","title":"What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds","created":"2022-05-19","cited_by_count":6,"area":null},{"id":"2305.19407","title":"FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection","created":"2023-05-30","cited_by_count":6,"area":null},{"id":"2306.03625","title":"Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning","created":"2023-06-06","cited_by_count":6,"area":null},{"id":"2107.00593","title":"Disaggregated Interventions to Reduce Inequality","created":"2021-07-01","cited_by_count":5,"area":null},{"id":"2212.03974","title":"Counterfactuals for the Future","created":"2022-12-07","cited_by_count":5,"area":null},{"id":"2306.11008","title":"Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge","created":"2023-06-19","cited_by_count":4,"area":null},{"id":"2307.12797","title":"Causal Fair Machine Learning via Rank-Preserving Interventional Distributions","created":"2023-07-24","cited_by_count":4,"area":null},{"id":"2310.11407","title":"Group-blind optimal transport to group parity and its constrained variants","created":"2023-10-17","cited_by_count":4,"area":null},{"id":"2412.09232","title":"Uplift modeling with continuous treatments: A predict-then-optimize approach","created":"2024-12-12","cited_by_count":4,"area":null},{"id":"2211.06569","title":"RISE: Robust Individualized Decision Learning with Sensitive Variables","created":"2022-11-12","cited_by_count":3,"area":null},{"id":"2311.14688","title":"Procedural Fairness Through Decoupling Objectionable Data Generating Components","created":"2023-11-05","cited_by_count":3,"area":null},{"id":"2209.10860","title":"SCALES: From Fairness Principles to Constrained Decision-Making","created":"2022-09-22","cited_by_count":2,"area":null},{"id":"2310.13820","title":"FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2106.02498","title":"Towards Fairness Certification in Artificial Intelligence","created":"2021-06-04","cited_by_count":1,"area":null},{"id":"2301.12278","title":"Pragmatic Fairness: Developing Policies with Outcome Disparity Control","created":"2023-01-28","cited_by_count":1,"area":null},{"id":"2502.01211","title":"Privilege Scores","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2111.04272","title":"Identifying Best Fair Intervention","created":"2021-11-08","cited_by_count":0,"area":null},{"id":"2403.12069","title":"Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth","created":"2024-02-12","cited_by_count":0,"area":null},{"id":"2408.01630","title":"Fair Risk Minimization under Causal Path-Specific Effect Constraints","created":"2024-08-03","cited_by_count":0,"area":null},{"id":"2504.21688","title":"Assessing Racial Disparities in Healthcare Expenditures via Mediator Distribution Shifts","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2508.08337","title":"Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants","created":"2025-08-10","cited_by_count":0,"area":null},{"id":"2601.09841","title":"A pipeline for enabling path-specific causal fairness in observational health data","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2603.06984","title":"Masking Causality and Conditional Dependence","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2605.11362","title":"Causal Fairness for Survival Analysis","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.00049","title":"Measuring and Mitigating Bias in Code Generated by Large Language Models","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2606.17600","title":"Proximal Mediation Analysis with Hidden Recanting Witnesses","created":"2026-06-16","cited_by_count":0,"area":null}],"next_cursor":null}