{"total":66,"rows":[{"id":"2104.10671","title":"User-oriented Fairness in Recommendation","created":"2021-04-21","cited_by_count":75,"area":null},{"id":"2103.02735","title":"Fairness of Exposure in Stochastic Bandits","created":"2021-03-03","cited_by_count":43,"area":null},{"id":"2105.09829","title":"Personalized Counterfactual Fairness in Recommendation","created":"2021-05-20","cited_by_count":38,"area":null},{"id":"2104.13640","title":"Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers","created":"2021-04-28","cited_by_count":35,"area":null},{"id":"2110.15781","title":"Two-sided fairness in rankings via Lorenz dominance","created":"2021-10-28","cited_by_count":28,"area":null},{"id":"2107.06720","title":"Fairness in Ranking under Uncertainty","created":"2021-07-14","cited_by_count":27,"area":null},{"id":"2205.13619","title":"Fairness in Recommendation: Foundations, Methods and Applications","created":"2022-05-26","cited_by_count":27,"area":null},{"id":"2110.09253","title":"A Sociotechnical View of Algorithmic Fairness","created":"2021-09-27","cited_by_count":24,"area":null},{"id":"2205.00048","title":"Joint Multisided Exposure Fairness for Recommendation","created":"2022-04-29","cited_by_count":22,"area":null},{"id":"2106.08652","title":"Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints","created":"2021-06-16","cited_by_count":18,"area":null},{"id":"2111.10723","title":"End-to-end Learning for Fair Ranking Systems","created":"2021-11-21","cited_by_count":18,"area":null},{"id":"2203.17118","title":"Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank","created":"2022-03-31","cited_by_count":18,"area":null},{"id":"2211.17067","title":"Fair Ranking with Noisy Protected Attributes","created":"2022-11-30","cited_by_count":17,"area":null},{"id":"2205.08289","title":"Experiments on Generalizability of User-Oriented Fairness in Recommender Systems","created":"2022-05-17","cited_by_count":13,"area":null},{"id":"2206.07247","title":"Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking","created":"2022-06-15","cited_by_count":13,"area":null},{"id":"2202.03237","title":"Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings","created":"2022-02-07","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":"2207.03060","title":"Multi-Label Learning to Rank through Multi-Objective Optimization","created":"2022-07-07","cited_by_count":10,"area":null},{"id":"2102.05996","title":"Fairness Through Regularization for Learning to Rank","created":"2021-02-11","cited_by_count":8,"area":null},{"id":"2103.11023","title":"Individually Fair Ranking","created":"2021-03-19","cited_by_count":7,"area":null},{"id":"2112.06288","title":"Fairness for Robust Learning to Rank","created":"2021-12-12","cited_by_count":6,"area":null},{"id":"2210.07774","title":"Learning To Rank Diversely At Airbnb","created":"2022-09-19","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":"2407.03059","title":"FairJob: A Real-World Dataset for Fairness in Online Systems","created":"2024-07-03","cited_by_count":6,"area":null},{"id":"2209.13019","title":"Fast online ranking with fairness of exposure","created":"2022-09-13","cited_by_count":5,"area":null},{"id":"2307.14668","title":"Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment","created":"2023-07-27","cited_by_count":5,"area":null},{"id":"2310.04407","title":"Policy-Gradient Training of Language Models for Ranking","created":"2023-10-06","cited_by_count":5,"area":null},{"id":"2204.13765","title":"Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking","created":"2022-04-28","cited_by_count":4,"area":null},{"id":"2402.09326","title":"Stability and Multigroup Fairness in Ranking with Uncertain Predictions","created":"2024-02-14","cited_by_count":4,"area":null},{"id":"2102.11932","title":"On Meritocracy in Optimal Set Selection","created":"2021-02-23","cited_by_count":3,"area":null},{"id":"2110.15503","title":"A Pre-processing Method for Fairness in Ranking","created":"2021-10-29","cited_by_count":3,"area":null},{"id":"2204.06501","title":"Clinical trial site matching with improved diversity using fair policy learning","created":"2022-04-13","cited_by_count":3,"area":null},{"id":"2305.05608","title":"The Role of Relevance in Fair Ranking","created":"2023-05-09","cited_by_count":3,"area":null},{"id":"2305.15118","title":"Fairness in Streaming Submodular Maximization over a Matroid Constraint","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2306.04018","title":"PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications","created":"2023-06-06","cited_by_count":3,"area":null},{"id":"2306.07188","title":"Inference-time Stochastic Ranking with Risk Control","created":"2023-06-12","cited_by_count":3,"area":null},{"id":"2306.10050","title":"Interpolating Item and User Fairness in Multi-Sided Recommendations","created":"2023-06-12","cited_by_count":3,"area":null},{"id":"2103.05277","title":"Efficient Vertex-Oriented Polytopic Projection for Web-scale Applications","created":"2021-03-09","cited_by_count":2,"area":null},{"id":"2210.09957","title":"Contextual bandits with concave rewards, and an application to fair ranking","created":"2022-10-18","cited_by_count":2,"area":null},{"id":"2212.14351","title":"Properties of Group Fairness Metrics for Rankings","created":"2022-12-29","cited_by_count":2,"area":null},{"id":"2302.00025","title":"On the Within-Group Fairness of Screening Classifiers","created":"2023-01-31","cited_by_count":2,"area":null},{"id":"2306.11964","title":"Sampling Individually-Fair Rankings that are Always Group Fair","created":"2023-06-21","cited_by_count":2,"area":null},{"id":"2403.17421","title":"MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification","created":"2024-03-26","cited_by_count":2,"area":null},{"id":"2405.09543","title":"Algorithmic Fairness: A Tolerance Perspective","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2407.17459","title":"Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics","created":"2024-07-24","cited_by_count":2,"area":null},{"id":"2511.06568","title":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","created":"2025-11-09","cited_by_count":2,"area":null},{"id":"2108.05315","title":"Fairness Through Counterfactual Utilities","created":"2021-08-11","cited_by_count":1,"area":null},{"id":"2108.05523","title":"Fair Decision-Making for Food Inspections","created":"2021-08-12","cited_by_count":1,"area":null},{"id":"2111.00735","title":"Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank","created":"2021-11-01","cited_by_count":1,"area":null},{"id":"2205.06024","title":"Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling","created":"2022-05-12","cited_by_count":1,"area":null},{"id":"2305.02914","title":"Recent Advances in the Foundations and Applications of Unbiased Learning to Rank","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2308.13242","title":"Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness","created":"2023-08-25","cited_by_count":1,"area":null},{"id":"2402.05252","title":"Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages","created":"2024-02-07","cited_by_count":1,"area":null},{"id":"2502.11429","title":"What's in a Query: Polarity-Aware Distribution-Based Fair Ranking","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2304.12311","title":"ExCalibR: Expected Calibration of Recommendations","created":"2023-04-24","cited_by_count":0,"area":null},{"id":"2305.00319","title":"Learning to Re-rank with Constrained Meta-Optimal Transport","created":"2023-04-29","cited_by_count":0,"area":null},{"id":"2404.12190","title":"Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees","created":"2024-04-18","cited_by_count":0,"area":null},{"id":"2410.17415","title":"End-to-End Optimization and Learning of Fair Court Schedules","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2410.18844","title":"Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2411.01685","title":"Reducing Biases in Record Matching Through Scores Calibration","created":"2024-11-03","cited_by_count":0,"area":null},{"id":"2506.00446","title":"Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2509.18067","title":"Learning to Rank with Top-$K$ Fairness","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2603.03094","title":"Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2606.09891","title":"Representation Curriculum: Stagewise Training for Robust Ranking and Allocation","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.26369","title":"Scoring Is Not Enough: Addressing Gaps in Utility-fairness Trade-offs for Ranking","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.25268","title":"Structure-aware Relative Policy Optimization for Ranking","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}