Co-occurring keywords · papers mentioning both
Papers
How do fair decisions fare in long-term qualification?
NeurIPS 2020
Learning Certified Individually Fair Representations
NeurIPS 2020
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
AAAI 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
ICML 2020
Optimized Score Transformation for Fair Classification
AISTATS 2020
Themis: Fair and Efficient GPU Cluster Scheduling
NSDI 2020
Too Relaxed to Be Fair
ICML 2020
Balanced Ranking with Diversity Constraints
IJCAI 2019
Compositional Fairness Constraints for Graph Embeddings
ICML 2019
Coresets for Clustering with Fairness Constraints
NeurIPS 2019
Equal Opportunity in Online Classification with Partial Feedback
NeurIPS 2019
Fair Algorithms for Clustering
NeurIPS 2019
Fair k-Center Clustering for Data Summarization
ICML 2019
Fairness Constraints: A Flexible Approach for Fair Classification
JMLR 2019
Group-Fairness in Influence Maximization
IJCAI 2019
Guarantees for Spectral Clustering with Fairness Constraints
ICML 2019
Learning Controllable Fair Representations
AISTATS 2019
Matroids, Matchings, and Fairness
AISTATS 2019
Offline Contextual Bandits with High Probability Fairness Guarantees
NeurIPS 2019
On Making Stochastic Classifiers Deterministic
NeurIPS 2019
Optimizing Generalized Rate Metrics with Three Players
NeurIPS 2019
Toward Controlling Discrimination in Online Ad Auctions
ICML 2019
A Reductions Approach to Fair Classification
ICML 2018
Empirical Risk Minimization Under Fairness Constraints
NeurIPS 2018
Fair and Diverse DPP-Based Data Summarization
ICML 2018