A number of tasks, such as large-scale text categorization and word prediction, can benefit from efficient learning and classification when the number of classes (categories), in addition to instances and features, is large, that is, in the thousands and beyond. We investigate learning of sparse category indices to address this challenge. An index is a weighted bipartite graph mapping features ...