Variational Information Maximization for Feature Selection

NeurIPS 2016 Shuyang GaoGreg Ver SteegAram 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 maximizing mutual information between subsets of features and class labels... (read more)

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