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Found 3 papers, 1 papers with code
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
We investigate the problem of reliably assessing group fairness when labeled examples are few but unlabeled examples are plentiful.
Active Bayesian Assessment for Black-Box Classifiers
Recent advances in machine learning have led to increased deployment of black-box classifiers across a wide variety of applications.
Mondrian Processes for Flow Cytometry Analysis
Analysis of flow cytometry data is an essential tool for clinical diagnosis of hematological and immunological conditions.
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