Co-occurring keywords · papers mentioning both
Papers
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
NeurIPS 2024
Achievable Fairness on Your Data With Utility Guarantees
NeurIPS 2024
Fair and Optimal Prediction via Post-Processing
AAAI 2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples
AAAI 2024
Fairness without Harm: An Influence-Guided Active Sampling Approach
NeurIPS 2024
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
NeurIPS 2023
Learning Fair Graph Representations via Automated Data Augmentations
ICLR 2023
Mean Parity Fair Regression in RKHS
AISTATS 2023
Stable and Fair Classification
ICML 2019
Why Is My Classifier Discriminatory?
NeurIPS 2018