471 citations · 800 across the 20 of their papers we have counts for
Showing 2016 · stat.MLShow all
2 papers · 2 filters
stat.ML2016★ 45 cited
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…
stat.ML2016
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…