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Wasserstein Learning of Determinantal Point Processes

Nov 19, 2020
Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes


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Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

Jun 17, 2020
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel


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Embedding models for recommendation under contextual constraints

Jun 21, 2019
Syrine Krichene, Mike Gartrell, Clement Calauzenes


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Learning Nonsymmetric Determinantal Point Processes

May 30, 2019
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene


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Deep Determinantal Point Processes

Nov 17, 2018
Mike Gartrell, Elvis Dohmatob

* Relational Representation Learning NIPS 2018 Workshop 

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Learning Determinantal Point Processes by Sampling Inferred Negatives

Nov 02, 2018
Zelda Mariet, Mike Gartrell, Suvrit Sra


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Basket Completion with Multi-task Determinantal Point Processes

May 24, 2018
Romain Warlop, Jérémie Mary, Mike Gartrell


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Adversarial Training of Word2Vec for Basket Completion

May 22, 2018
Ugo Tanielian, Mike Gartrell, Flavian Vasile

* 5 pages 

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The Bayesian Low-Rank Determinantal Point Process Mixture Model

Aug 16, 2016
Mike Gartrell, Ulrich Paquet, Noam Koenigstein

* 9 pages, 6 figures. This article draws heavily from arXiv:1602.05436 

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Low-Rank Factorization of Determinantal Point Processes for Recommendation

Feb 17, 2016
Mike Gartrell, Ulrich Paquet, Noam Koenigstein

* 10 pages, 4 figures. Submitted to KDD 2016 

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