Exact Sampling from Determinantal Point Processes

22 Sep 2016 Philipp Hennig Roman Garnett

Determinantal point processes (DPPs) are an important concept in random matrix theory and combinatorics. They have also recently attracted interest in the study of numerical methods for machine learning, as they offer an elegant "missing link" between independent Monte Carlo sampling and deterministic evaluation on regular grids, applicable to a general set of spaces... (read more)

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