7 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
Deep Determinantal Point Processes
Mike Gartrell, Elvis Dohmatob, Jon Alberdi
Determinantal point processes (DPPs) have attracted significant attention as an elegant model that is able to capture the balance between quality and diversity within sets. DPPs ar…
Multi-Task Determinantal Point Processes for Recommendation
Romain Warlop, Jérémie Mary, Mike Gartrell
Determinantal point processes (DPPs) have received significant attention in the recent years as an elegant model for a variety of machine learning tasks, due to their ability to el…
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Determinantal point processes (DPPs) have garnered attention as an elegant probabilistic model of set diversity. They are useful for a number of subset selection tasks, including p…