| Trade-offs between membership privacy & adversarially robust learning | Jun 8, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
| Fair Federated Learning via Bounded Group Loss | Mar 18, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints | Dec 30, 2020 | Fairnessimbalanced classification | —Unverified | 0 | 0 |
| ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups | Oct 2, 2024 | Data AugmentationFairness | —Unverified | 0 | 0 |
| Proxy Fairness | Jun 28, 2018 | Fairness | —Unverified | 0 | 0 |
| Prune Responsibly | Sep 10, 2020 | Decision MakingFairness | —Unverified | 0 | 0 |
| Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments | Sep 22, 2023 | Causal Inferencecounterfactual | —Unverified | 0 | 0 |
| Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play | Feb 11, 2023 | Active LearningFairness | —Unverified | 0 | 0 |
| Pushing the limits of fairness impossibility: Who's the fairest of them all? | Aug 24, 2022 | AllFairness | —Unverified | 0 | 0 |
| Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements | Jan 14, 2019 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
