40 citations · 81 across the 3 of their papers we have counts for
3 papers
Learning the Parameters of Determinantal Point Process Kernels
Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams +1
Determinantal point processes (DPPs) are well-suited for modeling repulsion and have proven useful in many applications where diversity is desired. While DPPs have many appealing p…
Approximate Inference in Continuous Determinantal Point Processes
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
Determinantal point processes (DPPs) are random point processes well-suited for modeling repulsion. In machine learning, the focus of DPP-based models has been on diverse subset se…
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…