Generalized Kernel Thinning

4 October 2021

Papers citing "Generalized Kernel Thinning"

24 / 24 papers shown

Title
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 124 0 0 01 Apr 2025
Supervised Kernel Thinning Albert Gong Kyuseong Choi Raaz Dwivedi 132 0 0 17 Oct 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 91 4 0 26 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 128 0 0 07 Jun 2024
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 84 10 0 14 Jan 2023
Distribution Compression in Near-linear Time Abhishek Shetty Raaz Dwivedi Lester W. Mackey 151 18 0 15 Nov 2021
Kernel Thinning Raaz Dwivedi Lester W. Mackey 162 39 0 12 May 2021
Finding Global Minima via Kernel Approximations Alessandro Rudi Ulysse Marteau-Ferey Francis R. Bach 40 34 0 22 Dec 2020
Optimal Thinning of MCMC Output M. Riabiz W. Chen Jon Cockayne P. Swietach Steven Niederer Lester W. Mackey Chris J. Oates 60 47 0 08 May 2020
Discrepancy, Coresets, and Sketches in Machine Learning Zohar Karnin Edo Liberty 40 49 0 11 Jun 2019
Stein Point Markov Chain Monte Carlo W. Chen Alessandro Barp François‐Xavier Briol Jackson Gorham Mark Girolami Lester W. Mackey Chris J. Oates 71 57 0 09 May 2019
Stein Points W. Chen Lester W. Mackey Jackson Gorham François‐Xavier Briol Chris J. Oates 60 102 0 27 Mar 2018
Near-Optimal Coresets of Kernel Density Estimates J. M. Phillips W. Tai 44 72 0 06 Feb 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 116 223 0 06 Mar 2017
Support points Simon Mak V. R. Joseph 46 139 0 07 Sep 2016
Minimax Estimation of Kernel Mean Embeddings Ilya O. Tolstikhin Bharath K. Sriperumbudur Krikamol Muandet 45 86 0 13 Feb 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 100 483 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 195 328 0 09 Feb 2016
Statistically efficient thinning of a Markov chain sampler Art B. Owen 39 54 0 27 Oct 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 98 225 0 09 Jun 2015
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering Simon Lacoste-Julien Fredrik Lindsten Francis R. Bach 113 82 0 09 Jan 2015
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 213 685 0 25 Jul 2012
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 154 338 0 15 Mar 2012
On the Inclusion Relation of Reproducing Kernel Hilbert Spaces Haizhang Zhang Liang Zhao 60 17 0 21 Jun 2011