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Variance reduction for dependent sequences with applications to
  Stochastic Gradient MCMC

Variance reduction for dependent sequences with applications to Stochastic Gradient MCMC

16 August 2020
Denis Belomestny
L. Iosipoi
Eric Moulines
A. Naumov
S. Samsonov
ArXiv (abs)PDFHTML

Papers citing "Variance reduction for dependent sequences with applications to Stochastic Gradient MCMC"

5 / 5 papers shown
Title
Theoretical guarantees for neural control variates in MCMC
Theoretical guarantees for neural control variates in MCMC
Denis Belomestny
Artur Goldman
A. Naumov
S. Samsonov
BDLDRL
48
6
0
03 Apr 2023
Meta-learning Control Variates: Variance Reduction with Limited Data
Meta-learning Control Variates: Variance Reduction with Limited Data
Z. Sun
Chris J. Oates
F. Briol
BDL
94
9
0
08 Mar 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous
  Bias-Variance Reduction and Supercanonical Convergence
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
Henry Lam
Haofeng Zhang
52
4
0
23 Oct 2021
Post-Processing of MCMC
Post-Processing of MCMC
Leah F. South
M. Riabiz
Onur Teymur
Chris J. Oates
92
18
0
30 Mar 2021
Empirical Variance Minimization with Applications in Variance Reduction
  and Optimal Control
Empirical Variance Minimization with Applications in Variance Reduction and Optimal Control
Denis Belomestny
L. Iosipoi
Q. Paris
Nikita Zhivotovskiy
77
8
0
13 Dec 2017
1