182 citations · 375 across the 26 of their papers we have counts for
3 papers · 1 filter
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji, Padhraic Smyth, Mark Steyvers
We investigate the problem of reliably assessing group fairness when labeled examples are few but unlabeled examples are plentiful. We propose a general Bayesian framework that can…
Active Bayesian Assessment for Black-Box Classifiers
Disi Ji, Robert L. Logan, Padhraic Smyth +1
Recent advances in machine learning have led to increased deployment of black-box classifiers across a wide variety of applications. In many such situations there is a critical nee…
Statistical Topic Models for Multi-Label Document Classification
Timothy N. Rubin, America Chambers, Padhraic Smyth +1
Machine learning approaches to multi-label document classification have to date largely relied on discriminative modeling techniques such as support vector machines. A drawback of…