| Modeling Disclosive Transparency in NLP Application Descriptions | Jan 2, 2021 | FairnessLanguage Modeling | CodeCode Available | 0 |
| Multi-Objective Recommendation via Multivariate Policy Learning | May 3, 2024 | Decision MakingDiversity | CodeCode Available | 0 |
| A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems | Jul 17, 2024 | FairnessLEMMA | CodeCode Available | 0 |
| ProPublica's COMPAS Data Revisited | Jun 11, 2019 | Fairness | CodeCode Available | 0 |
| Arbitrariness Lies Beyond the Fairness-Accuracy Frontier | Jun 15, 2023 | Decision MakingFairness | CodeCode Available | 0 |
| Fair Best Arm Identification with Fixed Confidence | Aug 30, 2024 | FairnessScheduling | CodeCode Available | 0 |
| Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness | Oct 3, 2020 | Fairness | CodeCode Available | 0 |
| Towards Unbiased Evaluation of Time-series Anomaly Detector | Sep 19, 2024 | Anomaly DetectionFairness | CodeCode Available | 0 |
| Welfare and Fairness in Multi-objective Reinforcement Learning | Nov 30, 2022 | FairnessMulti-Objective Reinforcement Learning | CodeCode Available | 0 |
| Achieving Model Fairness in Vertical Federated Learning | Sep 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
