2 papers
stat.ML2026
Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models
Conlan Olson, Linjun Zhang, Zhun Deng +1
Individual fairness, the notion that "similar individuals should be treated similarly," provides a strong and flexible fairness guarantee for algorithmic decision makers. However,…
cs.LG2025
Architecture Selection via the Trade-off Between Accuracy and Robustness
Zhun Deng, Cynthia Dwork, Jialiang Wang +1
We provide a general framework for characterizing the trade-off between accuracy and robustness in supervised learning. We propose a method and define quantities to characterize th…