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Showing 1 to 2 of 2 for “"determinant maximization"”.
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Scalable Inference Algorithms for Determinantal Point Processes
Determinantal Point Processes (DPPs) are probability distributions on subsets of a collection of points that tend to generate diverse configurations of points. This feature makes them suitable as a probabilistic model of diversity. Recently this idea has been exploited extensively in subset …
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Subset Selection via Spectral Objectives
… matrix. For example, we may consider the determinant, trace, or minimum eigenvalue. While we could simply limit the number of selected items, we can also have more elaborate constraints. We may instead restrict our attention to subsets S that are bases of a specific matroid. This will …