270 citations · 1.4k across the 97 of their papers we have counts for
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Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge
Ryan J. Gallagher, Kyle Reing, David Kale +1
While generative models such as Latent Dirichlet Allocation (LDA) have proven fruitful in topic modeling, they often require detailed assumptions and careful specification of hyper…
Toward Interpretable Topic Discovery via Anchored Correlation Explanation
Kyle Reing, David C. Kale, Greg Ver Steeg +1
Many predictive tasks, such as diagnosing a patient based on their medical chart, are ultimately defined by the decisions of human experts. Unfortunately, encoding experts' knowled…
Variational Information Maximization for Feature Selection
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Feature selection is one of the most fundamental problems in machine learning. An extensive body of work on information-theoretic feature selection exists which is based on maximiz…
Sifting Common Information from Many Variables
Greg Ver Steeg, Shuyang Gao, Kyle Reing +1
Measuring the relationship between any pair of variables is a rich and active area of research that is central to scientific practice. In contrast, characterizing the common inform…