Kernel Thinning

12 May 2021

Papers citing "Kernel Thinning"

13 / 13 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 78 1 0 26 Apr 2025
Low-Rank Thinning Annabelle Michael Carrell Albert Gong Abhishek Shetty Raaz Dwivedi Lester W. Mackey 61 0 0 17 Feb 2025
Supervised Kernel Thinning Albert Gong Kyuseong Choi Raaz Dwivedi 31 0 0 17 Oct 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 46 3 0 26 Jun 2024
Resource-Aware Collaborative Monte Carlo Localization with Distribution Compression Nicky Zimmerman Alessandro Giusti Jérôme Guzzi 36 1 0 02 Apr 2024
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
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 40 12 0 27 Jan 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 41 9 0 14 Jan 2023
Online Kernel CUSUM for Change-Point Detection S. Wei Yao Xie 30 11 0 28 Nov 2022
Optimal Sub-sampling to Boost Power of Kernel Sequential Change-point Detection S. Wei Chaofan Huang 16 0 0 26 Oct 2022
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy Cole Hawkins Alec Koppel Zheng-Wei Zhang 42 4 0 18 Jan 2022
Distribution Compression in Near-linear Time Abhishek Shetty Raaz Dwivedi Lester W. Mackey 19 17 0 15 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 36 29 0 04 Oct 2021