632 citations · 883 across the 13 of their papers we have counts for
Showing 2012Show all
3 papers · 1 filter
cs.LG2012★ 27 cited
Markov Determinantal Point Processes
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox
A determinantal point process (DPP) is a random process useful for modeling the combinatorial problem of subset selection. In particular, DPPs encourage a random subset Y to contai…
stat.ML2012★ 632 cited
Determinantal point processes for machine learning
Alex Kulesza, Ben Taskar
Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory. In contrast to traditional structured mod…
cs.LG2012★ 106 cited
Learning Determinantal Point Processes
Alex Kulesza, Ben Taskar
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among…