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Convergence Rates for a Class of Estimators Based on Stein's Method

Convergence Rates for a Class of Estimators Based on Stein's Method

10 March 2016
Chris J. Oates
Jon Cockayne
F. Briol
Mark Girolami
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Papers citing "Convergence Rates for a Class of Estimators Based on Stein's Method"

14 / 14 papers shown
Title
Speeding up Monte Carlo Integration: Control Neighbors for Optimal
  Convergence
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Rémi Leluc
Franccois Portier
Johan Segers
Aigerim Zhuman
22
7
0
10 May 2023
Introduction To Gaussian Process Regression In Bayesian Inverse
  Problems, With New ResultsOn Experimental Design For Weighted Error Measures
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures
T. Helin
Andrew M. Stuart
A. Teckentrup
K. Zygalakis
34
4
0
09 Feb 2023
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
Variance Reduction for Metropolis-Hastings Samplers
Variance Reduction for Metropolis-Hastings Samplers
Angelos N. Alexopoulos
P. Dellaportas
Michalis K. Titsias
13
2
0
04 Mar 2022
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
A Convergence Theory for SVGD in the Population Limit under Talagrand's
  Inequality T1
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
Adil Salim
Lukang Sun
Peter Richtárik
23
20
0
06 Jun 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
Gesine Reinert
Yvik Swan
22
35
0
07 May 2021
The reproducing Stein kernel approach for post-hoc corrected sampling
The reproducing Stein kernel approach for post-hoc corrected sampling
Liam Hodgkinson
R. Salomone
Fred Roosta
32
27
0
25 Jan 2020
Neural Control Variates for Variance Reduction
Neural Control Variates for Variance Reduction
Ruosi Wan
Mingjun Zhong
Haoyi Xiong
Zhanxing Zhu
BDL
DRL
14
18
0
01 Jun 2018
Monte Carlo integration with a growing number of control variates
Monte Carlo integration with a growing number of control variates
François Portier
Johan Segers
18
27
0
05 Jan 2018
On the Sampling Problem for Kernel Quadrature
On the Sampling Problem for Kernel Quadrature
François‐Xavier Briol
Chris J. Oates
Jon Cockayne
W. Chen
Mark Girolami
23
29
0
11 Jun 2017
Stein Variational Gradient Descent as Gradient Flow
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
OT
28
271
0
25 Apr 2017
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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