Co-occurring keywords · papers mentioning both
Papers
Statistical inference for individual fairness
ICLR 2021
Auditing ML Models for Individual Bias and Unfairness
AISTATS 2020
Individual Fairness for k-Clustering
ICML 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
IJCAI 2020
Learning Certified Individually Fair Representations
NeurIPS 2020
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
AAAI 2020
Metric-Free Individual Fairness in Online Learning
NeurIPS 2020
Training individually fair ML models with sensitive subspace robustness
ICLR 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
ICML 2020
Verifying Individual Fairness in Machine Learning Models
UAI 2020
Average Individual Fairness: Algorithms, Generalization and Experiments
NeurIPS 2019
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
NeurIPS 2018
Probably Approximately Metric-Fair Learning
ICML 2018
Learning Fair Representations
ICML 2013