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05/15/2023
Capturing Humans' Mental Models of AI: An Item Response Theory Approach
Improving our understanding of how humans perceive AI teammates is an im...
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09/29/2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
An increasingly common use case for machine learning models is augmentin...
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10/19/2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
We investigate the problem of reliably assessing group fairness when lab...
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02/16/2020
Active Bayesian Assessment for Black-Box Classifiers
Recent advances in machine learning have led to increased deployment of ...
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07/11/2012
The Author-Topic Model for Authors and Documents
We introduce the author-topic model, a generative model for documents th...
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07/13/2011
