ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.09677
  4. Cited By
Kernel interpolation with continuous volume sampling

Kernel interpolation with continuous volume sampling

22 February 2020
Ayoub Belhadji
Rémi Bardenet
P. Chainais
ArXivPDFHTML

Papers citing "Kernel interpolation with continuous volume sampling"

16 / 16 papers shown
Title
On the design of scalable, high-precision spherical-radial Fourier
  features
On the design of scalable, high-precision spherical-radial Fourier features
Ayoub Belhadji
Qianyu Julie Zhu
Youssef Marzouk
23
1
0
23 Aug 2024
A Quadrature Approach for General-Purpose Batch Bayesian Optimization
  via Probabilistic Lifting
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Saad Hamid
Harald Oberhauser
Michael A. Osborne
GP
32
3
0
18 Apr 2024
Monte Carlo with kernel-based Gibbs measures: Guarantees for
  probabilistic herding
Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herding
Martin Rouault
Rémi Bardenet
Mylène Maïda
45
0
0
18 Feb 2024
Weighted least-squares approximation with determinantal point processes
  and generalized volume sampling
Weighted least-squares approximation with determinantal point processes and generalized volume sampling
A. Nouy
Bertrand Michel
10
3
0
21 Dec 2023
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
E. De Vito
Lorenzo Rosasco
24
3
0
22 Nov 2023
Policy Gradient with Kernel Quadrature
Policy Gradient with Kernel Quadrature
Satoshi Hayakawa
Tetsuro Morimura
OffRL
BDL
26
0
0
23 Oct 2023
Signal reconstruction using determinantal sampling
Signal reconstruction using determinantal sampling
Ayoub Belhadji
Rémi Bardenet
P. Chainais
32
2
0
13 Oct 2023
An analysis of Ermakov-Zolotukhin quadrature using kernels
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
21
11
0
03 Sep 2023
Kernel quadrature with randomly pivoted Cholesky
Kernel quadrature with randomly pivoted Cholesky
Ethan N. Epperly
Elvira Moreno
24
8
0
06 Jun 2023
Sampling-based Nyström Approximation and Kernel Quadrature
Sampling-based Nyström Approximation and Kernel Quadrature
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
35
13
0
23 Jan 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
29
11
0
16 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
16
6
0
11 Dec 2021
Positively Weighted Kernel Quadrature via Subsampling
Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
30
24
0
20 Jul 2021
Nonparametric estimation of continuous DPPs with kernel methods
Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel
Rémi Bardenet
13
1
0
27 Jun 2021
Kernel Thinning
Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
31
37
0
12 May 2021
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
1