Kernel quadrature with DPPs

18 June 2019

Papers citing "Kernel quadrature with DPPs"

12 / 12 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 90 1 0 26 Apr 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 35 3 0 22 Nov 2023
An analysis of Ermakov-Zolotukhin quadrature using kernels Ayoub Belhadji 32 11 0 03 Sep 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 47 12 0 27 Jan 2023
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition Michal Derezinski E. Rebrova 29 18 0 20 Aug 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 31 20 0 09 Jun 2022
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
Kernel Thinning Raaz Dwivedi Lester W. Mackey 39 37 0 12 May 2021
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 36 77 0 07 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 51 172 0 23 Apr 2020
Kernel interpolation with continuous volume sampling Ayoub Belhadji Rémi Bardenet P. Chainais 27 22 0 22 Feb 2020
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,125 0 25 Jul 2012