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Monte Carlo with Determinantal Point Processes
v1v2 (latest)

Monte Carlo with Determinantal Point Processes

2 May 2016
Rémi Bardenet
A. Hardy
ArXiv (abs)PDFHTML

Papers citing "Monte Carlo with Determinantal Point Processes"

18 / 18 papers shown
Title
Stationary MMD Points for Cubature
Stationary MMD Points for Cubature
Zonghao Chen
Toni Karvonen
Heishiro Kanagawa
F. Briol
Chris J. Oates
74
0
0
27 May 2025
An analysis of Ermakov-Zolotukhin quadrature using kernels
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
59
13
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
81
8
0
10 May 2023
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
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
62
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
59
0
0
15 Mar 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo
  Objectives
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives
Pierre-Alexandre Mattei
J. Frellsen
51
4
0
26 Jan 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
75
6
0
11 Dec 2021
Kernel Thinning
Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
195
39
0
12 May 2021
Determinantal Point Processes in Randomized Numerical Linear Algebra
Determinantal Point Processes in Randomized Numerical Linear Algebra
Michal Derezinski
Michael W. Mahoney
76
81
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
81
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
63
14
0
20 Feb 2020
Kernel quadrature with DPPs
Kernel quadrature with DPPs
Ayoub Belhadji
Rémi Bardenet
P. Chainais
73
41
0
18 Jun 2019
Fast determinantal point processes via distortion-free intermediate
  sampling
Fast determinantal point processes via distortion-free intermediate sampling
Michal Derezinski
86
40
0
08 Nov 2018
A Polynomial Time MCMC Method for Sampling from Continuous DPPs
A Polynomial Time MCMC Method for Sampling from Continuous DPPs
S. Gharan
A. Rezaei
43
4
0
20 Oct 2018
Determinantal Point Processes for Coresets
Determinantal Point Processes for Coresets
Nicolas M Tremblay
Simon Barthelmé
P. Amblard
73
32
0
23 Mar 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
77
28
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
54
22
0
05 May 2017
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