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Low-Rank Factorization of Determinantal Point Processes for
  Recommendation

Low-Rank Factorization of Determinantal Point Processes for Recommendation

17 February 2016
Mike Gartrell
Ulrich Paquet
Noam Koenigstein
ArXivPDFHTML

Papers citing "Low-Rank Factorization of Determinantal Point Processes for Recommendation"

14 / 14 papers shown
Title
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
Sangwoo Shin
H. Hino
34
0
0
02 Aug 2024
Testing Determinantal Point Processes
Testing Determinantal Point Processes
Khashayar Gatmiry
Maryam Aliakbarpour
Stefanie Jegelka
39
1
0
09 Aug 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point
  Processes
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Mike Gartrell
Insu Han
Elvis Dohmatob
Jennifer Gillenwater
Victor-Emmanuel Brunel
28
16
0
17 Jun 2020
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Joshua Robinson
S. Sra
Stefanie Jegelka
4
12
0
12 Jun 2019
Learning Nonsymmetric Determinantal Point Processes
Learning Nonsymmetric Determinantal Point Processes
Mike Gartrell
Victor-Emmanuel Brunel
Elvis Dohmatob
Syrine Krichene
24
42
0
30 May 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks
DPPNet: Approximating Determinantal Point Processes with Deep Networks
Zelda E. Mariet
Yaniv Ovadia
Jasper Snoek
35
10
0
07 Jan 2019
Learning Signed Determinantal Point Processes through the Principal
  Minor Assignment Problem
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Victor-Emmanuel Brunel
105
27
0
01 Nov 2018
Boltzmann machines and energy-based models
Boltzmann machines and energy-based models
Takayuki Osogami
30
14
0
20 Aug 2017
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory
  Network Based Approach
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach
Aidean Sharghi
Jacob S. Laurel
Boqing Gong
EgoV
30
134
0
16 Jul 2017
Rates of estimation for determinantal point processes
Rates of estimation for determinantal point processes
Victor-Emmanuel Brunel
Ankur Moitra
Philippe Rigollet
John C. Urschel
37
16
0
03 Jun 2017
Zonotope hit-and-run for efficient sampling from projection DPPs
Zonotope hit-and-run for efficient sampling from projection DPPs
G. Gautier
Rémi Bardenet
Michal Valko
30
18
0
30 May 2017
Probabilistic Typology: Deep Generative Models of Vowel Inventories
Probabilistic Typology: Deep Generative Models of Vowel Inventories
Ryan Cotterell
Jason Eisner
BDL
11
31
0
04 May 2017
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and
  Constrained Sampling
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li
Stefanie Jegelka
S. Sra
21
37
0
02 Aug 2016
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,125
0
25 Jul 2012
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