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Scalable Control Variates for Monte Carlo Methods via Stochastic
  Optimization

Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization

12 June 2020
Shijing Si
Chris J. Oates
Andrew B. Duncan
Lawrence Carin
F. Briol
    BDL
ArXivPDFHTML

Papers citing "Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization"

7 / 7 papers shown
Title
Training neural control variates using correlated configurations
Training neural control variates using correlated configurations
Hyunwoo Oh
BDL
38
0
0
12 May 2025
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
78
1
0
26 Apr 2025
Minimum Discrepancy Methods in Uncertainty Quantification
Minimum Discrepancy Methods in Uncertainty Quantification
Chris J. Oates
39
2
0
13 Sep 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
Post-Processing of MCMC
Post-Processing of MCMC
Leah F. South
M. Riabiz
Onur Teymur
Chris J. Oates
22
17
0
30 Mar 2021
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
1