Measuring Sample Quality with Kernels

6 March 2017

Papers citing "Measuring Sample Quality with Kernels"

44 / 44 papers shown

Title
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 89 0 0 24 Feb 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 45 1 0 30 Oct 2024
Sequential Kernelized Stein Discrepancy Diego Martinez-Taboada Aaditya Ramdas 33 0 0 26 Sep 2024
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 66 4 0 11 Aug 2024
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 35 1 0 12 Jun 2024
Collaborative Score Distillation for Consistent Visual Synthesis Subin Kim Kyungmin Lee June Suk Choi Jongheon Jeong Kihyuk Sohn Jinwoo Shin DiffM 19 21 0 04 Jul 2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications Xiaoda Qu Xiran Fan B. Vemuri 27 0 0 21 May 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 23 18 0 17 Nov 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 22 10 0 28 Oct 2022
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa A. Gretton 16 9 0 19 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 40 14 0 26 Sep 2022
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces George Wynne Mikolaj Kasprzak Andrew B. Duncan 25 4 0 09 Jun 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 21 19 0 01 Jun 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 55 8 0 16 May 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 28 25 0 20 Mar 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 14 14 0 11 Mar 2022
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy Cole Hawkins Alec Koppel Zheng-Wei Zhang 35 4 0 18 Jan 2022
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 15 8 0 06 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 13 101 0 30 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 36 29 0 04 Oct 2021
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 23 2 0 13 Sep 2021
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 14 153 0 25 Jul 2021
Stein Variational Gradient Descent with Multiple Kernel Qingzhong Ai Shiyu Liu Lirong He Zenglin Xu 9 4 0 20 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 39 19 0 23 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit Wenkai Xu 27 4 0 23 Jun 2021
Kernel Stein Discrepancy Descent Anna Korba Pierre-Cyril Aubin-Frankowski Szymon Majewski Pierre Ablin 13 50 0 20 May 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates G. Reinert Yvik Swan 22 35 0 07 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 19 74 0 15 Apr 2021
Stein Variational Gradient Descent: many-particle and long-time asymptotics Nikolas Nusken D. M. Renger 11 22 0 25 Feb 2021
A kernel test for quasi-independence Tamara Fernández Wenkai Xu Marc Ditzhaus A. Gretton 21 2 0 17 Nov 2020
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 13 34 0 23 Aug 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba Adil Salim Michael Arbel Giulia Luise A. Gretton 13 76 0 17 Jun 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 24 27 0 25 Jan 2020
More Powerful Selective Kernel Tests for Feature Selection Jen Ning Lim M. Yamada Wittawat Jitkrittum Y. Terada S. Matsui Hidetoshi Shimodaira 47 9 0 14 Oct 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 14 135 0 16 Jul 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 19 90 0 19 Jun 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 8 396 0 17 May 2019
Stein Point Markov Chain Monte Carlo W. Chen Alessandro Barp François‐Xavier Briol Jackson Gorham Mark Girolami Lester W. Mackey Chris J. Oates 24 56 0 09 May 2019
Random Feature Stein Discrepancies Jonathan H. Huggins Lester W. Mackey 19 45 0 20 Jun 2018
Sobolev Descent Youssef Mroueh Tom Sercu Anant Raj OT 10 1 0 30 May 2018
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 28 270 0 25 Apr 2017
Measuring Sample Quality with Diffusions Jackson Gorham Andrew B. Duncan Sandra Jeanne Vollmer Lester W. Mackey 22 116 0 21 Nov 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 101 324 0 09 Feb 2016
MCMC using Hamiltonian dynamics Radford M. Neal 173 3,260 0 09 Jun 2012