Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement

We describe a learning procedure enhancing L1-penalized regression by adding dynamically generated rules describing multidimensional “box” sets. Our rule-adding procedure is based on the classical column generation method for high-dimensional linear programming... (read more)

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