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Fixed-point algorithms for learning determinantal point processes
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Fixed-point algorithms for learning determinantal point processes

Zelda E. Mariet
S. Sra
ArXiv (abs)PDFHTML

Papers citing "Fixed-point algorithms for learning determinantal point processes"

17 / 17 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
85
0
0
02 Aug 2024
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
Wei Wang
LongBing Cao
33
1
0
04 Apr 2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes
Scalable Sampling for Nonsymmetric Determinantal Point Processes
Insu Han
Mike Gartrell
Jennifer Gillenwater
Elvis Dohmatob
Amin Karbasi
61
4
0
20 Jan 2022
Gaussian Determinantal Processes: a new model for directionality in data
Gaussian Determinantal Processes: a new model for directionality in data
Subhro Ghosh
Philippe Rigollet
52
9
0
19 Nov 2021
Wasserstein Learning of Determinantal Point Processes
Wasserstein Learning of Determinantal Point Processes
Lucas Anquetil
Mike Gartrell
A. Rakotomamonjy
Ugo Tanielian
Clément Calauzènes
17
2
0
19 Nov 2020
Testing Determinantal Point Processes
Testing Determinantal Point Processes
Khashayar Gatmiry
Maryam Aliakbarpour
Stefanie Jegelka
69
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
60
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
62
12
0
12 Jun 2019
Learning Nonsymmetric Determinantal Point Processes
Learning Nonsymmetric Determinantal Point Processes
Mike Gartrell
Victor-Emmanuel Brunel
Elvis Dohmatob
Syrine Krichene
51
43
0
30 May 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
152
28
0
01 Nov 2018
Diversity in Machine Learning
Diversity in Machine Learning
Z. Gong
P. Zhong
Weidong Hu
55
203
0
04 Jul 2018
Learning Determinantal Point Processes by Corrective Negative Sampling
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda E. Mariet
Mike Gartrell
S. Sra
59
3
0
15 Feb 2018
Riemannian Optimization via Frank-Wolfe Methods
Riemannian Optimization via Frank-Wolfe Methods
Melanie Weber
S. Sra
69
33
0
30 Oct 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
122
137
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
83
16
0
03 Jun 2017
Learning Determinantal Point Processes in Sublinear Time
Learning Determinantal Point Processes in Sublinear Time
Christophe Dupuy
Francis R. Bach
78
26
0
19 Oct 2016
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Mike Gartrell
Ulrich Paquet
Noam Koenigstein
79
77
0
17 Feb 2016