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Monte Carlo with Determinantal Point Processes

Monte Carlo with Determinantal Point Processes

2 May 2016
Rémi Bardenet
A. Hardy
ArXivPDFHTML

Papers citing "Monte Carlo with Determinantal Point Processes"

15 / 15 papers shown
Title
An analysis of Ermakov-Zolotukhin quadrature using kernels
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
32
11
0
03 Sep 2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal
  Convergence
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Rémi Leluc
Franccois Portier
Johan Segers
Aigerim Zhuman
36
7
0
10 May 2023
On estimating the structure factor of a point process, with applications
  to hyperuniformity
On estimating the structure factor of a point process, with applications to hyperuniformity
D. Hawat
G. Gautier
Rémi Bardenet
R. Lachièze-Rey
43
11
0
16 Mar 2022
A novel sampler for Gauss-Hermite determinantal point processes with
  application to Monte Carlo integration
A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration
Nicholas P. Baskerville
35
0
0
15 Mar 2022
Determinantal point processes based on orthogonal polynomials for
  sampling minibatches in SGD
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet
Subhro Ghosh
Meixia Lin
24
6
0
11 Dec 2021
Kernel Thinning
Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
39
37
0
12 May 2021
Asymptotic approximation of the likelihood of stationary determinantal
  point processes
Asymptotic approximation of the likelihood of stationary determinantal point processes
Arnaud Poinas
F. Lavancier
13
5
0
03 Mar 2021
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
Monte Carlo integration of non-differentiable functions on
  $[0,1]^ι$, $ι=1,\dots,d$, using a single determinantal point pattern
  defined on $[0,1]^d$
Monte Carlo integration of non-differentiable functions on [0,1]ι[0,1]^ι[0,1]ι, ι=1,…,dι=1,\dots,dι=1,…,d, using a single determinantal point pattern defined on [0,1]d[0,1]^d[0,1]d
Jean‐François Coeurjolly
Adrien Mazoyer
P. Amblard
37
7
0
28 Feb 2020
Diversity sampling is an implicit regularization for kernel methods
Diversity sampling is an implicit regularization for kernel methods
Michaël Fanuel
J. Schreurs
Johan A. K. Suykens
21
14
0
20 Feb 2020
Kernel quadrature with DPPs
Kernel quadrature with DPPs
Ayoub Belhadji
Rémi Bardenet
P. Chainais
28
39
0
18 Jun 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
Monte Carlo integration with a growing number of control variates
Monte Carlo integration with a growing number of control variates
François Portier
Johan Segers
34
27
0
05 Jan 2018
Mixing properties and central limit theorem for associated point
  processes
Mixing properties and central limit theorem for associated point processes
Arnaud Poinas
B. Delyon
F. Lavancier
13
22
0
05 May 2017
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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