conftrace_

group fairness

158 papers

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Also known as

GF

Co-occurring keywords

algorithmic fairness (284) individual fairness (55) demographic parity (75) approximation algorithm (630) equalized odd (31) fairness metric (48) fair classification (55) bias mitigation (500) machine learning (436) spurious correlation (279)

Papers

Group Fairness by Probabilistic Modeling with Latent Fair Decisions AAAI 2021
LOGAN: Local Group Bias Detection by Clustering EMNLP 2020
Fair Performance Metric Elicitation NIPS 2020
Sample Complexity of Uniform Convergence for Multicalibration NIPS 2020
Group-Fair Online Allocation in Continuous Time NIPS 2020
A Fair Classifier Using Kernel Density Estimation NIPS 2020
Identifying and Correcting Label Bias in Machine Learning AISTATS 2020
FACT: A Diagnostic for Group Fairness Trade-offs ICML 2020
Fairness without Demographics through Adversarially Reweighted Learning NIPS 2020
Fairness with Overlapping Groups; a Probabilistic Perspective NIPS 2020
Fairness for Robust Log Loss Classification AAAI 2020
Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NIPS 2020
Equalized odds postprocessing under imperfect group information AISTATS 2020
Achieving Equalized Odds by Resampling Sensitive Attributes NIPS 2020
Portioning Using Ordinal Preferences: Fairness and Efficiency IJCAI 2019
The many dimensions of algorithmic fairness in educational applications ACL 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems NIPS 2019
Paradoxes in Fair Machine Learning NIPS 2019
Fairness Towards Groups of Agents in the Allocation of Indivisible Items IJCAI 2019
Policy Learning for Fairness in Ranking NIPS 2019
Group Fairness for the Allocation of Indivisible Goods AAAI 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NIPS 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions ICML 2019