| Efficient Fair Principal Component Analysis | Nov 12, 2019 | Dimensionality ReductionFairness | —Unverified | 0 | 0 |
| Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection | May 9, 2025 | Bias DetectionDiversity | —Unverified | 0 | 0 |
| Efficient Fairness-Performance Pareto Front Computation | Sep 26, 2024 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
| Beyond Individual and Group Fairness | Aug 21, 2020 | Fairness | —Unverified | 0 | 0 |
| An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation | Oct 7, 2022 | DiversityFairness | —Unverified | 0 | 0 |
| A Directional Rockafellar-Uryasev Regression | Nov 4, 2024 | Fairnessregression | —Unverified | 0 | 0 |
| Efficient DNN-Powered Software with Fair Sparse Models | Jul 3, 2024 | FairnessModel Compression | —Unverified | 0 | 0 |
| Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy | May 24, 2022 | Fairness | —Unverified | 0 | 0 |
| Efficient Device Scheduling with Multi-Job Federated Learning | Dec 11, 2021 | Bayesian OptimizationFairness | —Unverified | 0 | 0 |
| Efficient Data Shapley for Weighted Nearest Neighbor Algorithms | Jan 20, 2024 | Computational EfficiencyData Valuation | —Unverified | 0 | 0 |
