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Efficient Sampling for k-Determinantal Point Processes

Efficient Sampling for k-Determinantal Point Processes

4 September 2015
Chengtao Li
Stefanie Jegelka
S. Sra
ArXivPDFHTML

Papers citing "Efficient Sampling for k-Determinantal Point Processes"

14 / 14 papers shown
Title
MUSS: Multilevel Subset Selection for Relevance and Diversity
MUSS: Multilevel Subset Selection for Relevance and Diversity
Vu Nguyen
Andrey Kan
60
0
0
14 Mar 2025
Determinantal Beam Search
Determinantal Beam Search
Clara Meister
Martina Forster
Ryan Cotterell
19
13
0
14 Jun 2021
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
32
23
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
18
2
0
24 Jun 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra
Determinantal Point Processes in Randomized Numerical Linear Algebra
Michal Derezinski
Michael W. Mahoney
34
77
0
07 May 2020
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal
  Algorithm
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Piotr Indyk
S. Mahabadi
S. Gharan
A. Rezaei
51
21
0
06 Jul 2019
Nyström landmark sampling and regularized Christoffel functions
Nyström landmark sampling and regularized Christoffel functions
Michaël Fanuel
J. Schreurs
Johan A. K. Suykens
26
10
0
29 May 2019
Fast determinantal point processes via distortion-free intermediate
  sampling
Fast determinantal point processes via distortion-free intermediate sampling
Michal Derezinski
26
40
0
08 Nov 2018
Asymptotic Equivalence of Fixed-size and Varying-size Determinantal
  Point Processes
Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes
Simon Barthelmé
P. Amblard
Nicolas M Tremblay
30
10
0
05 Mar 2018
Approximately Optimal Subset Selection for Statistical Design and
  Modelling
Approximately Optimal Subset Selection for Statistical Design and Modelling
Yu Wang
N. Le
J. Zidek
25
1
0
01 Sep 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
Low-Rank Factorization of Determinantal Point Processes for
  Recommendation
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Mike Gartrell
Ulrich Paquet
Noam Koenigstein
37
77
0
17 Feb 2016
Diversity Networks: Neural Network Compression Using Determinantal Point
  Processes
Diversity Networks: Neural Network Compression Using Determinantal Point Processes
Zelda E. Mariet
S. Sra
30
129
0
16 Nov 2015
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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