| Offline Contextual Bandits with High Probability Fairness Guarantees | Dec 1, 2019 | FairnessMulti-Armed Bandits | CodeCode Available | 0 |
| FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning | Nov 17, 2022 | FairnessGraph Embedding | CodeCode Available | 0 |
| Towards counterfactual fairness through auxiliary variables | Dec 6, 2024 | counterfactualFairness | CodeCode Available | 0 |
| The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning | Oct 12, 2024 | FairnessInformativeness | CodeCode Available | 0 |
| Fair Mixed Effects Support Vector Machine | May 10, 2024 | Fairness | CodeCode Available | 0 |
| SoK: Unintended Interactions among Machine Learning Defenses and Risks | Dec 7, 2023 | FairnessMemorization | CodeCode Available | 0 |
| DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces | Mar 11, 2021 | FairnessWord Embeddings | CodeCode Available | 0 |
| Trade-Offs Between Fairness and Privacy in Language Modeling | May 24, 2023 | Bias DetectionFairness | CodeCode Available | 0 |
| FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality | Apr 2, 2024 | DiversityDomain Generalization | CodeCode Available | 0 |
| Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing | May 22, 2024 | Attributecounterfactual | CodeCode Available | 0 |
