CanITrustMyFairnessMetric?AssessingFairness withUnlabeledDataandBayesianInference

Feb-19-2026, 07:25:13 GMT–Neural Information Processing Systems

We investigate the problem of reliably assessing group fairness when labeled examples are few but unlabeled examples are plentiful.

artificial intelligence, calibration, machine learning, (18 more...)

Neural Information Processing Systems

Feb-19-2026, 07:25:13 GMT

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Country:
- Asia (0.04)
- North America > Canada
  - British Columbia > Metro Vancouver Regional District > Vancouver (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (0.46)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.68)