| Distributionally Robust Optimization with Bias and Variance Reduction | Oct 21, 2023 | Fairness | —Unverified | 0 | 0 |
| Distributionally Robust Federated Learning with Client Drift Minimization | May 21, 2025 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN | Nov 26, 2018 | Fairness | —Unverified | 0 | 0 |
| Amazing Things Come From Having Many Good Models | Jul 5, 2024 | Fairness | —Unverified | 0 | 0 |
| Distributionally Robust Fair Principal Components via Geodesic Descents | Feb 7, 2022 | Dimensionality ReductionFairness | —Unverified | 0 | 0 |
| Bargaining via Weber's law | Aug 5, 2024 | Fairness | —Unverified | 0 | 0 |
| Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability | May 4, 2023 | Decision MakingFairness | —Unverified | 0 | 0 |
| BARACK: Partially Supervised Group Robustness With Guarantees | Dec 31, 2021 | FairnessGeneralization Bounds | —Unverified | 0 | 0 |
| A Maximal Correlation Framework for Fair Machine Learning | Mar 26, 2022 | Fairness | —Unverified | 0 | 0 |
| Distributed Quasi-Newton Method for Fair and Fast Federated Learning | Jan 18, 2025 | FairnessFederated Learning | —Unverified | 0 | 0 |
