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Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized
  Stein Discrepancy
v1v2v3 (latest)

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy

28 April 2023
Xingtu Liu
Andrew B. Duncan
Axel Gandy
ArXiv (abs)PDFHTML

Papers citing "Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy"

15 / 15 papers shown
Title
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
104
5
0
11 Aug 2024
Controlling Moments with Kernel Stein Discrepancies
Controlling Moments with Kernel Stein Discrepancies
Heishiro Kanagawa
Alessandro Barp
Arthur Gretton
Lester W. Mackey
65
9
0
10 Nov 2022
KSD Aggregated Goodness-of-fit Test
KSD Aggregated Goodness-of-fit Test
Antonin Schrab
Benjamin Guedj
Arthur Gretton
93
19
0
02 Feb 2022
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
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
Gesine Reinert
Yvik Swan
89
35
0
07 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
60
79
0
15 Apr 2021
A fresh take on 'Barker dynamics' for MCMC
A fresh take on 'Barker dynamics' for MCMC
Max Hird
Samuel Livingstone
Giacomo Zanella
78
9
0
17 Dec 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,961
0
12 Jul 2019
A Framework for Adaptive MCMC Targeting Multimodal Distributions
A Framework for Adaptive MCMC Targeting Multimodal Distributions
E. Pompe
Chris Holmes
K. Latuszyñski
83
59
0
06 Dec 2018
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
139
223
0
06 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
80
1,094
0
16 Aug 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model
  Evaluation
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
Qiang Liu
Jason D. Lee
Michael I. Jordan
110
486
0
10 Feb 2016
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
213
328
0
09 Feb 2016
Measuring Sample Quality with Stein's Method
Measuring Sample Quality with Stein's Method
Jackson Gorham
Lester W. Mackey
124
225
0
09 Jun 2015
Wormhole Hamiltonian Monte Carlo
Wormhole Hamiltonian Monte Carlo
Shiwei Lan
J. Streets
Babak Shahbaba
108
65
0
01 Jun 2013
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
224
531
0
03 Mar 2010
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