7 citations · 12 across the 5 of their papers we have counts for
4 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…
Adversarial Training of Word2Vec for Basket Completion
Ugo Tanielian, Mike Gartrell, Flavian Vasile
In recent years, the Word2Vec model trained with the Negative Sampling loss function has shown state-of-the-art results in a number of machine learning tasks, including language mo…
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…
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda Mariet, Mike Gartrell, Suvrit Sra
Determinantal Point Processes (DPPs) have attracted significant interest from the machine-learning community due to their ability to elegantly and tractably model the delicate bala…