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Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration

Oct 01, 2021
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers

* NeurIPS 2021 

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Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

Oct 19, 2020
Disi Ji, Padhraic Smyth, Mark Steyvers

* 27 pages 

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Active Bayesian Assessment for Black-Box Classifiers

Feb 16, 2020
Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers

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The Author-Topic Model for Authors and Documents

Jul 11, 2012
Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers, Padhraic Smyth

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Statistical Topic Models for Multi-Label Document Classification

Nov 10, 2011
Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers

* 44 Pages (Including Appendices). To be published in: The Machine Learning Journal, special issue on Learning from Multi-Label Data. Version 2 corrects some typos, updates some of the notation used in the paper for clarification of some equations, and incorporates several relatively minor changes to the text throughout the paper 

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Text Modeling using Unsupervised Topic Models and Concept Hierarchies

Aug 07, 2008
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers

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