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Jennifer A Gillenwater

2 accepted papers

2018

Maximizing Induced Cardinality Under a Determinantal Point Process

NeurIPS 2018poster

Determinantal point processes (DPPs) are well-suited to recommender systems where the goal is to generate collections of diverse, high-quality items. In the existing literature this is usually formulated as finding the mode of the DPP (the so-called MAP set). However, the MAP objective inherently as…

Cited by 14SourcePDFScholar
2015

Submodular Hamming Metrics

NeurIPS 2015spotlight

We show that there is a largely unexplored class of functions (positive polymatroids) that can define proper discrete metrics over pairs of binary vectors and that are fairly tractable to optimize over. By exploiting submodularity, we are able to give hardness results and approximation algorithms f…

Cited by 21SourcePDFScholar