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Random Feature Stein Discrepancies

Random Feature Stein Discrepancies

20 June 2018
Jonathan H. Huggins
Lester W. Mackey
ArXivPDFHTML

Papers citing "Random Feature Stein Discrepancies"

32 / 32 papers shown
Title
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy
Elham Afzali
Saman Muthukumarana
Liqun Wang
37
0
0
03 Mar 2025
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
75
4
0
11 Aug 2024
Nyström Kernel Stein Discrepancy
Nyström Kernel Stein Discrepancy
Florian Kalinke
Zoltan Szabo
Bharath K. Sriperumbudur
41
1
0
12 Jun 2024
Posterior sampling with CNN-based, Plug-and-Play regularization with
  applications to Post-Stack Seismic Inversion
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
M. Izzatullah
T. Alkhalifah
J. Romero
M. Corrales
N. Luiken
M. Ravasi
34
2
0
30 Dec 2022
A Finite-Particle Convergence Rate for Stein Variational Gradient
  Descent
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi
Lester W. Mackey
23
18
0
17 Nov 2022
Controlling Moments with Kernel Stein Discrepancies
Controlling Moments with Kernel Stein Discrepancies
Heishiro Kanagawa
Alessandro Barp
A. Gretton
Lester W. Mackey
24
8
0
10 Nov 2022
Targeted Separation and Convergence with Kernel Discrepancies
Targeted Separation and Convergence with Kernel Discrepancies
Alessandro Barp
Carl-Johann Simon-Gabriel
Mark Girolami
Lester W. Mackey
48
14
0
26 Sep 2022
Gradient-Free Kernel Stein Discrepancy
Gradient-Free Kernel Stein Discrepancy
Matthew A. Fisher
Chris J. Oates
20
5
0
06 Jul 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Efficient Aggregated Kernel Tests using Incomplete UUU-statistics
Antonin Schrab
Ilmun Kim
Benjamin Guedj
A. Gretton
30
29
0
18 Jun 2022
MixFlows: principled variational inference via mixed flows
MixFlows: principled variational inference via mixed flows
Zuheng Xu
Na Chen
Trevor Campbell
55
8
0
16 May 2022
KSD Aggregated Goodness-of-fit Test
KSD Aggregated Goodness-of-fit Test
Antonin Schrab
Benjamin Guedj
A. Gretton
52
17
0
02 Feb 2022
Bounding Wasserstein distance with couplings
Bounding Wasserstein distance with couplings
N. Biswas
Lester W. Mackey
17
8
0
06 Dec 2021
Sampling with Mirrored Stein Operators
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
45
19
0
23 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on
  Kernel Stein Discrepancy Tests for Goodness-of-fit
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
Wenkai Xu
32
4
0
23 Jun 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability
  Metrics
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo-Enrich
Youssef Mroueh
16
1
0
10 Jun 2021
Kernel Thinning
Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
26
37
0
12 May 2021
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
G. Reinert
Yvik Swan
22
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
24
74
0
15 Apr 2021
Active Slices for Sliced Stein Discrepancy
Active Slices for Sliced Stein Discrepancy
Wenbo Gong
Kaibo Zhang
Yingzhen Li
José Miguel Hernández-Lobato
19
8
0
05 Feb 2021
Stochastic Stein Discrepancies
Stochastic Stein Discrepancies
Jackson Gorham
Anant Raj
Lester W. Mackey
16
37
0
06 Jul 2020
Sliced Kernelized Stein Discrepancy
Sliced Kernelized Stein Discrepancy
Wenbo Gong
Yingzhen Li
José Miguel Hernández-Lobato
17
37
0
30 Jun 2020
Optimal Thinning of MCMC Output
Optimal Thinning of MCMC Output
M. Riabiz
W. Chen
Jon Cockayne
P. Swietach
Steven Niederer
Lester W. Mackey
Chris J. Oates
11
45
0
08 May 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
Testing Goodness of Fit of Conditional Density Models with Kernels
Wittawat Jitkrittum
Heishiro Kanagawa
Bernhard Schölkopf
6
27
0
24 Feb 2020
Validated Variational Inference via Practical Posterior Error Bounds
Validated Variational Inference via Practical Posterior Error Bounds
Jonathan H. Huggins
Mikolaj Kasprzak
Trevor Campbell
Tamara Broderick
23
37
0
09 Oct 2019
Comparing distributions: $\ell_1$ geometry improves kernel two-sample
  testing
Comparing distributions: ℓ1\ell_1ℓ1​ geometry improves kernel two-sample testing
M. Scetbon
Gaël Varoquaux
17
10
0
19 Sep 2019
Minimum $L^q$-distance estimators for non-normalized parametric models
Minimum LqL^qLq-distance estimators for non-normalized parametric models
Steffen Betsch
B. Ebner
B. Klar
11
9
0
30 Aug 2019
A Kernel Stein Test for Comparing Latent Variable Models
A Kernel Stein Test for Comparing Latent Variable Models
Heishiro Kanagawa
Wittawat Jitkrittum
Lester W. Mackey
Kenji Fukumizu
A. Gretton
10
12
0
01 Jul 2019
Minimum Stein Discrepancy Estimators
Minimum Stein Discrepancy Estimators
Alessandro Barp
François‐Xavier Briol
Andrew B. Duncan
Mark Girolami
Lester W. Mackey
30
90
0
19 Jun 2019
Stein Point Markov Chain Monte Carlo
Stein Point Markov Chain Monte Carlo
W. Chen
Alessandro Barp
François‐Xavier Briol
Jackson Gorham
Mark Girolami
Lester W. Mackey
Chris J. Oates
30
56
0
09 May 2019
Kernelized Complete Conditional Stein Discrepancy
Kernelized Complete Conditional Stein Discrepancy
Raghav Singhal
Xintian Han
S. Lahlou
Rajesh Ranganath
17
7
0
09 Apr 2019
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
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