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Exact Sampling of Determinantal Point Processes without
  Eigendecomposition
v1v2v3v4v5 (latest)

Exact Sampling of Determinantal Point Processes without Eigendecomposition

23 February 2018
Claire Launay
B. Galerne
A. Desolneux
ArXiv (abs)PDFHTML

Papers citing "Exact Sampling of Determinantal Point Processes without Eigendecomposition"

15 / 15 papers shown
Title
A simple estimator of the correlation kernel matrix of a determinantal point process
A simple estimator of the correlation kernel matrix of a determinantal point process
Christian Gouriéroux
Yang Lu
36
0
0
20 May 2025
On determinantal point processes with nonsymmetric kernels
On determinantal point processes with nonsymmetric kernels
Poinas Arnaud
28
1
0
05 Jun 2024
A Faster Sampler for Discrete Determinantal Point Processes
A Faster Sampler for Discrete Determinantal Point Processes
Simon Barthelmé
Nicolas M Tremblay
P. Amblard
31
5
0
31 Oct 2022
Sparsification of the regularized magnetic Laplacian with multi-type
  spanning forests
Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Michaël Fanuel
Rémi Bardenet
137
4
0
31 Aug 2022
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi
Taihei Oki
Shinsaku Sakaue
K. Fujii
Satoru Iwata
40
4
0
13 Jun 2022
Hardness of Maximum Likelihood Learning of DPPs
Hardness of Maximum Likelihood Learning of DPPs
Elena Grigorescu
Brendan Juba
K. Wimmer
Ning Xie
19
5
0
24 May 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
54
4
0
20 Jan 2022
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
Learning from DPPs via Sampling: Beyond HKPV and symmetry
Learning from DPPs via Sampling: Beyond HKPV and symmetry
Rémi Bardenet
Subhro Ghosh
23
1
0
08 Jul 2020
Sampling from a $k$-DPP without looking at all items
Sampling from a kkk-DPP without looking at all items
Daniele Calandriello
Michal Derezinski
Michal Valko
61
24
0
30 Jun 2020
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point
  Processes
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes
J. Schreurs
Michaël Fanuel
Johan A. K. Suykens
53
2
0
24 Jun 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
Exact sampling of determinantal point processes with sublinear time
  preprocessing
Exact sampling of determinantal point processes with sublinear time preprocessing
Michal Derezinski
Daniele Calandriello
Michal Valko
95
55
0
31 May 2019
Nyström landmark sampling and regularized Christoffel functions
Nyström landmark sampling and regularized Christoffel functions
Michaël Fanuel
J. Schreurs
Johan A. K. Suykens
86
11
0
29 May 2019
DPPy: Sampling DPPs with Python
DPPy: Sampling DPPs with Python
G. Gautier
Guillermo Polito
Rémi Bardenet
Michal Valko
GP
19
2
0
19 Sep 2018
1