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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Probabilistic Fair Clustering NIPS 2020
Sample Complexity of Uniform Convergence for Multicalibration NIPS 2020
Fairness in Streaming Submodular Maximization: Algorithms and Hardness NIPS 2020
Group-Fair Online Allocation in Continuous Time NIPS 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency NIPS 2020
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering NIPS 2020
A Fair Classifier Using Kernel Density Estimation NIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
AViD Dataset: Anonymized Videos from Diverse Countries NIPS 2020
Probably Approximately Correct Constrained Learning NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
Ensuring Fairness Beyond the Training Data NIPS 2020
How do fair decisions fare in long-term qualification? NIPS 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NIPS 2020
Fair regression via plug-in estimator and recalibration with statistical guarantees NIPS 2020
Learning from Failure: De-biasing Classifier from Biased Classifier NIPS 2020
Fair Hierarchical Clustering NIPS 2020
Model Class Reliance for Random Forests NIPS 2020
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations AAAI 2020
FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020
Faking Fairness via Stealthily Biased Sampling AAAI 2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020
Graduate Employment Prediction with Bias AAAI 2020
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English AAAI 2020