multi-class classification

4 papers

• FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
• Improved Balanced Classification with Theoretically Grounded Loss Functions
• Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
• On Optimal Steering to Achieve Exact Fairness