| A Stochastic Optimization Framework for Fair Risk Minimization | Feb 24, 2021 | Binary ClassificationFairness | CodeCode Available | 1 |
| Learning Fair Representations for Recommendation: A Graph-based Perspective | Feb 18, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 |
| CaPC Learning: Confidential and Private Collaborative Learning | Feb 9, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| Challenges in Automated Debiasing for Toxic Language Detection | Jan 29, 2021 | Fairnesstext-classification | CodeCode Available | 1 |
| Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation | Jan 11, 2021 | Fairness | CodeCode Available | 1 |
| Towards Long-term Fairness in Recommendation | Jan 10, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 |
| On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections | Jan 1, 2021 | FairnessLink Prediction | CodeCode Available | 1 |
| Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning | Dec 17, 2020 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| Improving the Fairness of Deep Generative Models without Retraining | Dec 9, 2020 | AttributeDiversity | CodeCode Available | 1 |
| Ditto: Fair and Robust Federated Learning Through Personalization | Dec 8, 2020 | FairnessFederated Learning | CodeCode Available | 1 |
