{"total":55,"rows":[{"id":"2110.00530","title":"A survey on datasets for fairness-aware machine learning","created":"2021-10-01","cited_by_count":157,"area":null},{"id":"2106.14043","title":"Improved Approximation Algorithms for Individually Fair Clustering","created":"2021-06-26","cited_by_count":33,"area":null},{"id":"2106.12150","title":"Better Algorithms for Individually Fair $k$-Clustering","created":"2021-06-23","cited_by_count":28,"area":null},{"id":"2103.02512","title":"Approximation Algorithms for Socially Fair Clustering","created":"2021-03-03","cited_by_count":25,"area":null},{"id":"2110.09253","title":"A Sociotechnical View of Algorithmic Fairness","created":"2021-09-27","cited_by_count":24,"area":null},{"id":"2106.07239","title":"Fair Clustering Under a Bounded Cost","created":"2021-06-14","cited_by_count":21,"area":null},{"id":"2106.05423","title":"A New Notion of Individually Fair Clustering: $\\alpha$-Equitable $k$-Center","created":"2021-06-09","cited_by_count":18,"area":null},{"id":"2209.12396","title":"Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric","created":"2022-09-26","cited_by_count":17,"area":null},{"id":"2106.15566","title":"Near-Optimal Explainable $k$-Means for All Dimensions","created":"2021-06-29","cited_by_count":13,"area":null},{"id":"2111.04804","title":"Approximating Fair Clustering with Cascaded Norm Objectives","created":"2021-11-08","cited_by_count":13,"area":null},{"id":"2310.18162","title":"Proportional Fairness in Clustering: A Social Choice Perspective","created":"2023-10-27","cited_by_count":13,"area":null},{"id":"2105.03714","title":"Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions","created":"2021-05-08","cited_by_count":10,"area":null},{"id":"2105.14146","title":"Deep Fair Discriminative Clustering","created":"2021-05-28","cited_by_count":10,"area":null},{"id":"2105.14172","title":"A Stochastic Alternating Balance $k$-Means Algorithm for Fair Clustering","created":"2021-05-29","cited_by_count":10,"area":null},{"id":"2106.06755","title":"Tight FPT Approximation for Socially Fair Clustering","created":"2021-06-12","cited_by_count":10,"area":null},{"id":"2306.06778","title":"Approximation Algorithms for Fair Range Clustering","created":"2023-06-11","cited_by_count":10,"area":null},{"id":"2305.19475","title":"Doubly Constrained Fair Clustering","created":"2023-05-31","cited_by_count":9,"area":null},{"id":"2206.11210","title":"Constant-Factor Approximation Algorithms for Socially Fair $k$-Clustering","created":"2022-06-22","cited_by_count":8,"area":null},{"id":"2207.03600","title":"Individual Preference Stability for Clustering","created":"2022-07-07","cited_by_count":8,"area":null},{"id":"2311.05436","title":"Fair Wasserstein Coresets","created":"2023-11-09","cited_by_count":8,"area":null},{"id":"2402.06730","title":"A Scalable Algorithm for Individually Fair K-means Clustering","created":"2024-02-09","cited_by_count":8,"area":null},{"id":"2109.00708","title":"Efficient Algorithms For Fair Clustering with a New Fairness Notion","created":"2021-09-02","cited_by_count":5,"area":null},{"id":"2102.03977","title":"Learning to Generate Fair Clusters from Demonstrations","created":"2021-02-08","cited_by_count":4,"area":null},{"id":"2103.03337","title":"Revisiting Priority $k$-Center: Fairness and Outliers","created":"2021-03-04","cited_by_count":4,"area":null},{"id":"2109.04554","title":"Feature-based Individual Fairness in k-Clustering","created":"2021-09-09","cited_by_count":4,"area":null},{"id":"2202.01391","title":"Fair Representation Clustering with Several Protected Classes","created":"2022-02-03","cited_by_count":4,"area":null},{"id":"2112.03183","title":"Modification-Fair Cluster Editing","created":"2021-12-06","cited_by_count":3,"area":null},{"id":"2204.01880","title":"Models and Mechanisms for Spatial Data Fairness","created":"2022-04-04","cited_by_count":3,"area":null},{"id":"2307.12065","title":"Spectral Normalized-Cut Graph Partitioning with Fairness Constraints","created":"2023-07-22","cited_by_count":3,"area":null},{"id":"2309.16840","title":"Constant Approximation for Individual Preference Stable Clustering","created":"2023-09-28","cited_by_count":3,"area":null},{"id":"2312.10369","title":"Proportional Representation in Metric Spaces and Low-Distortion Committee Selection","created":"2023-12-16","cited_by_count":3,"area":null},{"id":"2302.02306","title":"Fair Spatial Indexing: A paradigm for Group Spatial Fairness","created":"2023-02-05","cited_by_count":2,"area":null},{"id":"2411.09847","title":"Towards a Fairer Non-negative Matrix Factorization","created":"2024-11-14","cited_by_count":2,"area":null},{"id":"2412.06063","title":"On Socially Fair Low-Rank Approximation and Column Subset Selection","created":"2024-12-08","cited_by_count":2,"area":null},{"id":"2205.02052","title":"Exploring Rawlsian Fairness for K-Means Clustering","created":"2022-05-04","cited_by_count":1,"area":null},{"id":"2305.17557","title":"Fair Clustering via Hierarchical Fair-Dirichlet Process","created":"2023-05-27","cited_by_count":1,"area":null},{"id":"2311.01252","title":"Sanitized Clustering against Confounding Bias","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2312.09061","title":"Fair Clustering: A Causal Perspective","created":"2023-12-14","cited_by_count":1,"area":null},{"id":"2403.10365","title":"Scalable Algorithms for Individual Preference Stable Clustering","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2408.10002","title":"The Fairness-Quality Trade-off in Clustering","created":"2024-08-19","cited_by_count":1,"area":null},{"id":"2412.10923","title":"Linear Programming based Approximation to Individually Fair k-Clustering with Outliers","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2505.22984","title":"A Computational Approach to Improving Fairness in K-means Clustering","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2508.04071","title":"Adversarial Fair Multi-View Clustering","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2604.16061","title":"Constant-Factor Approximations for Doubly Constrained Fair k-Center, k-Median and k-Means","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2203.02005","title":"On consistency of constrained spectral clustering under representation-aware stochastic block model","created":"2022-03-03","cited_by_count":0,"area":null},{"id":"2210.01888","title":"Bicriteria Approximation Algorithms for Priority Matroid Median","created":"2022-10-04","cited_by_count":0,"area":null},{"id":"2212.01771","title":"Can Evolutionary Clustering Have Theoretical Guarantees?","created":"2022-12-04","cited_by_count":0,"area":null},{"id":"2302.03774","title":"AI and Core Electoral Processes: Mapping the Horizons","created":"2023-02-07","cited_by_count":0,"area":null},{"id":"2403.16201","title":"From Discrete to Continuous: Deep Fair Clustering With Transferable Representations","created":"2024-03-24","cited_by_count":0,"area":null},{"id":"2405.10378","title":"A Polynomial-Time Approximation for Pairwise Fair $k$-Median Clustering","created":"2024-05-16","cited_by_count":0,"area":null},{"id":"2406.16557","title":"Efficient k-means with Individual Fairness via Exponential Tilting","created":"2024-06-24","cited_by_count":0,"area":null},{"id":"2410.15233","title":"A Semidefinite Relaxation Approach for Fair Graph Clustering","created":"2024-10-19","cited_by_count":0,"area":null},{"id":"2511.21109","title":"Interpretable Fair Clustering","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2608.25586","title":"Individual Fairness in Hierarchical Clustering","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.25811","title":"Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}