Co-occurring keywords · papers mentioning both
Papers
Fairness without Demographics through Adversarially Reweighted Learning
NeurIPS 2020
Fairness with Overlapping Groups; a Probabilistic Perspective
NeurIPS 2020
Fair Performance Metric Elicitation
NeurIPS 2020
Group-Fair Online Allocation in Continuous Time
NeurIPS 2020
Identifying and Correcting Label Bias in Machine Learning
AISTATS 2020
LOGAN: Local Group Bias Detection by Clustering
EMNLP 2020
Minimax Pareto Fairness: A Multi Objective Perspective
ICML 2020
Sample Complexity of Uniform Convergence for Multicalibration
NeurIPS 2020
Counterfactual Reasoning for Fair Clinical Risk Prediction
MLHC 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems
NeurIPS 2019
Fairness Towards Groups of Agents in the Allocation of Indivisible Items
IJCAI 2019
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
ICML 2019
Group Fairness for the Allocation of Indivisible Goods
AAAI 2019
Group-Fairness in Influence Maximization
IJCAI 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
NeurIPS 2019
Paradoxes in Fair Machine Learning
NeurIPS 2019
Policy Learning for Fairness in Ranking
NeurIPS 2019
Portioning Using Ordinal Preferences: Fairness and Efficiency
IJCAI 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
ICML 2019
The many dimensions of algorithmic fairness in educational applications
ACL 2019
Democratic Fair Allocation of Indivisible Goods
IJCAI 2018
Learning Adversarially Fair and Transferable Representations
ICML 2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
COLT 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering
NeurIPS 2017
On Fairness and Calibration
NeurIPS 2017