Papers implemented

Algorithms

• Yurochkin, Mikhail, and Yuekai Sun. “SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness.” International Conference on Learning Representations. 2020.

• Yurochkin, Mikhail, Amanda Bower, and Yuekai Sun. “Training individually fair ML models with sensitive subspace robustness.” International Conference on Learning Representations. 2019.

• Bower, Amanda, Hamid Eftekhari, Mikhail Yurochkin, and Yuekai Sun. “Individually Fair Rankings.” In International Conference on Learning Representations. 2020.

Auditing

• Maity, Subha, Songkai Xue, Mikhail Yurochkin, and Yuekai Sun. “Statistical inference for individual fairness.” In International Conference on Learning Representations. 2020.

Metrics

• Mukherjee, Debarghya, et al. “Two simple ways to learn individual fairness metrics from data.” International Conference on Machine Learning. PMLR, 2020.

• Yurochkin, Mikhail, Amanda Bower, and Yuekai Sun. “Training individually fair ML models with sensitive subspace robustness.” International Conference on Learning Representations. 2019.

Post-processing

• Petersen, Felix, Debarghya Mukherjee, Yuekai Sun, and Mikhail Yurochkin. “Post-processing for individual fairness.” Advances in Neural Information Processing Systems 34 (2021): 25944-25955.