Efficient Sampling for k-Determinantal Point Processes

4 Sep 2015Chengtao LiStefanie JegelkaSuvrit Sra

Determinantal Point Processes (DPPs) are elegant probabilistic models of repulsion and diversity over discrete sets of items. But their applicability to large sets is hindered by expensive cubic-complexity matrix operations for basic tasks such as sampling... (read more)

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